Powered by Deep Web Technologies
Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967"...

2

Distributed Solar Photovoltaics for Electric Vehicle Charging...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

DISTRIBUTED SOLAR PHOTOVOLTAICS FOR ELECTRIC VEHICLE CHARGING REGULATORY AND POLICY CONSIDERATIONS ABSTRACT Increasing demand for electric vehicle (EV) charging provides an...

3

Decentralized demand management for water distribution  

E-Print Network [OSTI]

. Actual Daily Demand for Model 2 . . 26 4 Predicted vs. Actual Peak Hourly Demand for Model 1 27 5 Predicted vs. Actual Peak Hourly Demand for Model 2 28 6 Cumulative Hourly Demand Distribution 7 Bryan Distribution Network 8 Typical Summer Diurnal... locating and controlling water that has not been accounted for. The Ford Meter Box Company (1987) advises the testing and recalibration of existing water meters. Because operating costs in a distribution network can be quite substantial, a significant...

Zabolio, Dow Joseph

2012-06-07T23:59:59.000Z

4

Distributed Automated Demand Response - Energy Innovation Portal  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore National Laboratory Contact LLNL About This Technology...

5

Distributed Intelligent Automated Demand Response (DIADR) Building  

Broader source: Energy.gov (indexed) [DOE]

Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,

6

ranking of utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

ranking of utilities by demand charge? ranking of utilities by demand charge? Home > Groups > Utility Rate Sorry..simple question because i am a bit dumb. How do I download the utility rate data in CSV so i can sort by demand charge? Or can i sort by demand charge in the API? New to this API stuff. Many thanks/ Submitted by Apin101 on 26 November, 2013 - 07:12 1 answer Points: 0 There is currently no way to sort the responses, but since you are downloading in a CSV format you can sort most responses in Excel (or a spreadsheet editor). Another option is to run direct Ask queries and specify a property to sort on (see massive URL below). To do any sorting on an element of a packed array like DemandWeekdaySchedule would require custom logic in the result spreadsheet, or custom scripting of some kind. The new utility rate custom

7

ranking of utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

ranking of utilities by demand charge? ranking of utilities by demand charge? Home > Groups > Utility Rate Sorry..simple question because i am a bit dumb. How do I download the utility rate data in CSV so i can sort by demand charge? Or can i sort by demand charge in the API? New to this API stuff. Many thanks/ Submitted by Apin101 on 26 November, 2013 - 07:12 1 answer Points: 0 There is currently no way to sort the responses, but since you are downloading in a CSV format you can sort most responses in Excel (or a spreadsheet editor). Another option is to run direct Ask queries and specify a property to sort on (see massive URL below). To do any sorting on an element of a packed array like DemandWeekdaySchedule would require custom logic in the result spreadsheet, or custom scripting of some kind. The new utility rate custom

8

Integration of Demand Side Management, Distributed Generation...  

Open Energy Info (EERE)

States. Annex 8 provides a list of software tools for analysing various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of...

9

how can I sort utilities by demand charge? | OpenEI Community  

Open Energy Info (EERE)

sort utilities by demand charge? Home am looking to find a way to sort the utility rate data by demand charge. Any ideas how to do? Thanks Submitted by Apin101 on 26 November, 2013...

10

Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging  

E-Print Network [OSTI]

1 Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging Sung-Guk Yoon Member, which is called demand response. Under demand response, retailers determine their electricity prices cost solution and the result of the equal- charging scheme. Index Terms--demand response, electric

Bahk, Saewoong

11

Smart charging and appliance scheduling approaches to demand side management  

Science Journals Connector (OSTI)

Abstract Various forms of demand side management (DSM) programs are being deployed by utility companies for load flattening amongst the residential power users. These programs are tailored to offer monetary incentives to electricity customers so that they voluntarily consume electricity in an efficient way. Thus, DSM presents households with numerous opportunities to lower their electricity bills. However, systems that combine the various DSM strategies with a view to maximizing energy management benefits have not received sufficient attention. This study therefore proposes an intelligent energy management framework that can be used to implement both energy storage and appliance scheduling schemes. By adopting appliance scheduling, customers can realize cost savings by appropriately scheduling their power consumption during the low peak hours. More savings could further be achieved through smart electricity storage. Power storage allows electricity consumers to purchase power during off-peak hours when electricity prices are low and satisfy their demands when prices are high by discharging the batteries. For optimal cost savings, the customers must constantly monitor the price fluctuations in order to determine when to switch between the utility grid and the electricity storage devices. However, with a high penetration of consumer owned storage devices, the charging of the batteries must be properly coordinated and appropriately scheduled to avoid creating new peaks. This paper therefore proposes an autonomous smart charging framework that ensures both the stability of the power grid and customer savings.

Christopher O. Adika; Lingfeng Wang

2014-01-01T23:59:59.000Z

12

Evaluation of ground energy storage assisted electric vehicle DC fast charger for demand charge reduction and providing demand response  

Science Journals Connector (OSTI)

Abstract In 2012 there was approximately 2400 electric vehicle DC Fast Charging stations sold globally. According to Pike Research (Jerram and Gartner, 2012), it is anticipated that by 2020 there will be approximately 460,000 of them installed worldwide. A typical public DC fast charger delivers a maximum power output of 50 kW which allows a typical passenger vehicle to be 80% charged in 10–15 min, compared with 6–8 h for a 6.6 kW AC level 2 charging unit. While DC fast chargers offer users the convenience of being able to rapidly charge their vehicle, the unit's high power demand has the potential to put sudden strain on the electricity network, and incur significant demand charges. Depending on the utility rate structure, a DC fast charger can experience annual demand charges of several thousand dollars. Therefore in these cases there is an opportunity to mitigate or even avoid the demand charges incurred by coupling the unit with an appropriately sized energy storage system and coordinating the way in which it integrates. This paper explores the technical and economical suitability of coupling a ground energy storage system with a DC fast charge unit for mitigation or avoidance of demand charges and lessening the impact on the local electricity network. This paper also discusses the concept of having the system participate in demand response programs in order to provide grid support and to further improve the economic suitability of an energy storage system.

Donald McPhail

2014-01-01T23:59:59.000Z

13

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

of Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response underof Distributed Energy Resources and Demand Response under

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

14

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This task of the International Energy Agency's (IEA's) Demand-Side

15

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This report provides Annexes 1 through 7, which are country reports from

16

Demand side management of electric car charging: Benefits for consumer and grid  

Science Journals Connector (OSTI)

Ireland is currently striving to source 10% of the energy required for its transport fleet from renewable energy sources by 2020. As part of the measures being implemented in order to help realise this ambitious target a number of Government schemes have been introduced to financially subsidise the purchase of alternative energy vehicles in an effort to achieve 10% EV (electric vehicle) penetration in the country's road fleet by 2020. The replacement of ICE (internal combustion engine) vehicles with EV equivalents poses challenges for grid operators while simultaneously offering opportunities in terms of distributed energy storage and flexible load. This paper examines how optimising the charging cycles of an electric car using DSM (Demand Side Management) based on a number of criteria could be used to achieve financial savings, increased demand on renewable energy, reduce demand on thermal generation plant, and reduce peak load demand. The results demonstrate that significant gains can be achieved using currently available market data which highlights the point that DSM can be implemented without any further technological advents.

P. Finn; C. Fitzpatrick; D. Connolly

2012-01-01T23:59:59.000Z

17

Provide Virtual Distributed Environments for Grid Computing on Demand  

E-Print Network [OSTI]

for security control and user delegation. · Resource management becomes a bottleneck for the Grid middleware]. An community- centric Grid application [9] certainly has a security control scheme distinct with a dataProvide Virtual Distributed Environments for Grid Computing on Demand Lizhe Wang , Gregor von

18

Optimal Sizing of Energy Storage and Photovoltaic Power Systems for Demand Charge Mitigation (Poster)  

SciTech Connect (OSTI)

Commercial facility utility bills are often a strong function of demand charges -- a fee proportional to peak power demand rather than total energy consumed. In some instances, demand charges can constitute more than 50% of a commercial customer's monthly electricity cost. While installation of behind-the-meter solar power generation decreases energy costs, its variability makes it likely to leave the peak load -- and thereby demand charges -- unaffected. This then makes demand charges an even larger fraction of remaining electricity costs. Adding controllable behind-the-meter energy storage can more predictably affect building peak demand, thus reducing electricity costs. Due to the high cost of energy storage technology, the size and operation of an energy storage system providing demand charge management (DCM) service must be optimized to yield a positive return on investment (ROI). The peak demand reduction achievable with an energy storage system depends heavily on a facility's load profile, so the optimal configuration will be specific to both the customer and the amount of installed solar power capacity. We explore the sensitivity of DCM value to the power and energy levels of installed solar power and energy storage systems. An optimal peak load reduction control algorithm for energy storage systems will be introduced and applied to historic solar power data and meter load data from multiple facilities for a broad range of energy storage system configurations. For each scenario, the peak load reduction and electricity cost savings will be computed. From this, we will identify a favorable energy storage system configuration that maximizes ROI.

Neubauer, J.; Simpson, M.

2013-10-01T23:59:59.000Z

19

Distributed Solar Photovoltaics for Electric Vehicle Charging: Regulatory and Policy Considerations (Brochure)  

SciTech Connect (OSTI)

Increasing demand for electric vehicle (EV) charging provides an opportunity for market expansion of distributed solar technology. A major barrier to the current deployment of solar technology for EV charging is a lack of clear information for policy makers, utilities and potential adopters. This paper introduces the pros and cons of EV charging during the day versus at night, summarizes the benefits and grid implications of combining solar and EV charging technologies, and offers some regulatory and policy options available to policy makers and regulators wanting to incentivize solar EV charging.

Not Available

2014-09-01T23:59:59.000Z

20

Deployment of Behind-The-Meter Energy Storage for Demand Charge Reduction  

SciTech Connect (OSTI)

This study investigates how economically motivated customers will use energy storage for demand charge reduction, as well as how this changes in the presence of on-site photovoltaic power generation, to investigate the possible effects of incentivizing increased quantities of behind-the-meter storage. It finds that small, short-duration batteries are most cost effective regardless of solar power levels, serving to reduce short load spikes on the order of 2.5% of peak demand. While profitable to the customer, such action is unlikely to adequately benefit the utility as may be desired, thus highlighting the need for modified utility rate structures or properly structured incentives.

Neubauer, J.; Simpson, M.

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost  

E-Print Network [OSTI]

is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

Pedram, Massoud

22

Towards Building an Optimal Demand Response Framework for DC Distribution Networks  

E-Print Network [OSTI]

Towards Building an Optimal Demand Response Framework for DC Distribution Networks Hamed Mohsenian, an optimization-based foundation is proposed for demand response in DC distribution networks in presence to assess the performance and to gain insights into the proposed demand-response paradigm. Keywords: DC

Mohsenian-Rad, Hamed

23

Distributed Coordination Schemes for Periodic Loads for Demand Side Management.  

E-Print Network [OSTI]

?? Demand side management (DSM) is a means to improve the energy efficiency, reduce the greenhouse gas emission, the consumers’ cost and the power grid… (more)

Xia, Tian

2011-01-01T23:59:59.000Z

24

Static charged distributions in 2+1 gravity  

SciTech Connect (OSTI)

Circularly symmetric charged perfect-fluid distributions are studied in three-dimensional gravity with a cosmological constant. We derive the Tolman-Oppenheimer-Volkoff equation of hydroelectrostatic equilibrium, and we discuss its applicability. A class of charged fluid distributions for p=-{rho} is considered. In this case, a particular model is obtained which represents a charged distribution whose mass is entirely of electromagnetic origin.

Cataldo, Mauricio; Cruz, Norman [Departamento de Fisica, Facultad de Ciencias, Universidad del Bio-Bio, Avenida Collao 1202, Casilla 5-C, Concepcion (Chile); Departamento de Fisica, Facultad de Ciencia, Universidad de Santiago, Casilla 307, Santiago (Chile)

2006-05-15T23:59:59.000Z

25

Property:OpenEI/UtilityRate/FixedDemandChargeMonth1 | Open Energy  

Open Energy Info (EERE)

Fixed Demand Charge Month 1 Fixed Demand Charge Month 1 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth1" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

26

Property:OpenEI/UtilityRate/DemandReactivePowerCharge | Open Energy  

Open Energy Info (EERE)

DemandReactivePowerCharge DemandReactivePowerCharge Jump to: navigation, search This is a property of type Number. Pages using the property "OpenEI/UtilityRate/DemandReactivePowerCharge" Showing 25 pages using this property. (previous 25) (next 25) 0 00b7ccdc-c7e0-40d2-907f-acb6ae828292 + 0.25 + 00e0b930-90c6-43c2-971a-91dade33f76a + 0.32 + 00e2a43f-6844-417a-b459-edf32d33b051 + 0.0092 + 00fb7dca-d0a6-4b11-b7de-791c2fb9f2e1 + 2.7 + 01a64840-7edc-4193-8073-ed5604e098ca + 0.83 + 035f3d22-3650-47cc-a427-bb35170db128 + 0.3 + 042f06f4-6a5b-424f-a31f-8e1c5a838700 + 0.27 + 0479cd85-894d-412b-b2ce-3b96912e9014 + 0.2 + 04bab597-fe1e-4507-8d90-144980aeba73 + 0.3 + 05211bd7-b6d3-425c-9f96-0845b7828c3c + 0.27 + 052fbe23-ac02-4195-b76d-e572cc53f669 + 0.68 + 05490683-8158-4d2f-ad96-66d5e4980890 + 0.25 +

27

Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand  

E-Print Network [OSTI]

by the Department of Energy and Climate Change (DEEC) on an annual basis.6 5 Engineering Technical Report 115 (1988). 6 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content... of non-domestic activity, which must be taken into account whilst forecasting non-domestic demand. 8 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content...

Jamasb, Tooraj; Marantes, Cristiano

2011-01-31T23:59:59.000Z

28

Property:OpenEI/UtilityRate/FixedDemandChargeMonth11 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 11 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth11" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

29

Property:OpenEI/UtilityRate/FixedDemandChargeMonth12 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 12 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth12" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 8.28 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 3.35 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

30

Property:OpenEI/UtilityRate/FixedDemandChargeMonth10 | Open Energy  

Open Energy Info (EERE)

Name: Fixed Demand Charge Month 10 Pages using the property "OpenEI/UtilityRate/FixedDemandChargeMonth10" Showing 25 pages using this property. (previous 25) (next 25) 0 0000827d-84d0-453d-b659-b86869323897 + 7 + 00101108-073b-4503-9cd4-01769611c26f + 1.71 + 0030a241-5084-4404-9fe4-ed558aad8b59 + 10.59 + 0049111b-fba2-46ba-827d-7ce95609a1d9 + 9.51 + 0055db46-f535-4dc9-a192-920d1bdf382b + 3.2 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 13.24 + 007f7b1f-0cba-450c-9023-df962aa387a4 + 5.28 + 008960d4-14ad-4822-b293-140640cf0bcf + 4.924 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 1.468 + 00e0b930-90c6-43c2-971a-91dade33f76a + 2.71 + 010f37ad-90a9-4aa8-bbdf-c55e72ee1495 + 4.74 + 017a32a0-140a-4e0b-a10c-f6f67905829c + 4.5 + 019941c8-cc3b-452c-b12e-201301099603 + 11.95 +

31

Property:OpenEI/UtilityRate/DemandChargePeriod6 | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search This is a property of type Number. Name: Demand Charge Period 6 Pages using the property "OpenEI/UtilityRate/DemandChargePeriod6" Showing 13 pages using this property. 0 0cbf0ab5-6819-42a2-bec6-1474dedf49c7 + 4.94 + 2 243d213c-25ea-4709-b421-6ff602b22d53 + 4.94 + 3 3436a635-b3b2-43a5-93ea-e0df37ef26c0 + 0 + 37ba48cd-8228-413b-b67c-8924492a64ce + 4.94 + 4 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.13 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 0.406 + 4d4a192d-b047-4a30-b719-27b28886d52b + 0 + C C65fb7a2-3639-410b-9164-fc6aa9e8e68c + 0.18 + D D21bf95c-9259-4058-ba7c-21aabd1edf31 + 0 + Df73a354-dd92-4e20-91b2-db16bde25dbb + 6 + E E0f831df-88a7-45a7-853c-d3958e41be83 + 1.2 + F F43273e8-6ef9-443f-9cee-9e20ab9b47d0 + 4.94 + F71b0b63-1b9c-4afd-8481-7af45939042a + 0 +

32

Smart Grids Operation with Distributed Generation and Demand Side Management  

Science Journals Connector (OSTI)

The integration of Distributed Generation (DG) based on renewable sources in the Smart Grids (SGs) is considered a challenging task because of the problems arising for the intermittent nature of the sources (e.g....

C. Cecati; C. Citro; A. Piccolo; P. Siano

2012-01-01T23:59:59.000Z

33

On the performance of the base-stock inventory system under a compound Erlang demand distribution  

Science Journals Connector (OSTI)

Abstract In this paper, we propose a new method for determining the optimal base-stock level in a single echelon inventory system where the demand is a compound Erlang process and the lead-time is constant. The demand inter-arrival follows an Erlang distribution and the demand size follows a Gamma distribution. The stock is controlled according to a continuous review base-stock policy where unfilled demands are backordered. The optimal base-stock level is derived based on a minimization of the total expected inventory cost. A numerical investigation is conducted to analyze the performance of the inventory system with respect to the different system parameters and also to show the outperformance of the approach that is based on the compound Erlang demand assumption as compared to the classical Newsboy approach. This work allows insights to be gained on stock control related issues for both slow and fast moving stock keeping units.

S. Saidane; M.Z. Babai; M.S. Aguir; O. Korbaa

2013-01-01T23:59:59.000Z

34

Visualization of Charge Distribution in a Lithium Battery Electrode  

SciTech Connect (OSTI)

We describe a method for direct determination and visualization of the distribution of charge in a composite electrode. Using synchrotron X-ray microdiffraction, state-of-charge profiles in-plane and normal to the current collector were measured. In electrodes charged at high rate, the signatures of nonuniform current distribution were evident. The portion of a prismatic cell electrode closest to the current collector tab had the highest state of charge due to electronic resistance in the composite electrode and supporting foil. In a coin cell electrode, the active material at the electrode surface was more fully charged than that close to the current collector because the limiting factor in this case is ion conduction in the electrolyte contained within the porous electrode.

Liu, Jun; Kunz, Martin; Chen, Kai; Tamura, Nobumichi; Richardson, Thomas J.

2010-07-02T23:59:59.000Z

35

Property:OpenEI/UtilityRate/DemandChargePeriod2 | Open Energy Information  

Open Energy Info (EERE)

Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2" Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2" Showing 25 pages using this property. (previous 25) (next 25) 0 0044fc17-f119-47eb-ae5d-0f489e09b203 + 12.94 + 0070a37f-0d41-4331-8115-df40c62e00f3 + 3.49 + 00cdded9-47a1-49b6-a217-10941ffbefc6 + 10.865 + 00fb7dca-d0a6-4b11-b7de-791c2fb9f2e1 + 8.15 + 00ff280d-1664-4b09-979b-5ee1e370b704 + 0.26 + 018673f0-093a-4a53-869d-3ac77d260efb + 0 + 01dd3bae-411e-40ee-b067-b2a0430baba3 + 6.75 + 01f6f9b2-3658-45e2-aa3e-f7afaf9b481d + 17.96 + 024ac306-1e30-4870-94f8-ef12908abe23 + 16.89 + 0253037f-3371-4224-b225-523d48a5e4c8 + 0.0267 + 02f09bc0-ae05-47af-a5ec-0074226c199b + 4.03 + 0385ea12-8fa5-45aa-8fc9-05df0358cd07 + 23.65 + 05146a64-a5a4-4271-a5ad-cb3a9a1e9345 + 33.94 + 05490683-8158-4d2f-ad96-66d5e4980890 + 0 +

36

Property:OpenEI/UtilityRate/DemandChargePeriod5 | Open Energy Information  

Open Energy Info (EERE)

Pages using the property "OpenEI/UtilityRate/DemandChargePeriod5" Pages using the property "OpenEI/UtilityRate/DemandChargePeriod5" Showing 25 pages using this property. 0 0934dd86-7cbe-437a-8cc5-47f469d3a745 + 8.516 + 0cbf0ab5-6819-42a2-bec6-1474dedf49c7 + 12.05 + 1 15d745ce-504b-4b58-8398-bd0feecd6cd3 + 12.08 + 16c96f08-175e-4914-b959-38a16682f377 + 12.178 + 1f892ab7-b5e8-4c7d-9e3d-d8fd46472ccc + 1.66 + 2 243d213c-25ea-4709-b421-6ff602b22d53 + 11.89 + 3 3436a635-b3b2-43a5-93ea-e0df37ef26c0 + 15.42 + 37ba48cd-8228-413b-b67c-8924492a64ce + 12.34 + 4 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.27 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 0.408 + 4d4a192d-b047-4a30-b719-27b28886d52b + 0 + 6 6431b6d0-4fce-4b94-ac92-b8e1634e144f + 1.66 + 9 98c27d12-986e-49f2-bba0-c6a507f49195 + 13.1 + A A8443e10-6622-42f0-ad0b-5dbf429bf993 + 11.778 +

37

Optimal Demand Response in DC Distribution Networks Hamed Mohsenian-Rad, Member, IEEE and Ali Davoudi, Member, IEEE  

E-Print Network [OSTI]

Optimal Demand Response in DC Distribution Networks Hamed Mohsenian-Rad, Member, IEEE and Ali first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation

Mohsenian-Rad, Hamed

38

Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting  

Science Journals Connector (OSTI)

Abstract A battery storage dispatch strategy that optimizes demand charge reduction in real-time was developed and the discharge of battery storage devices in a grid-connected, combined photovoltaic-battery storage system (PV+ system) was simulated for a summer month, July 2012, and a winter month, November 2012, in an operational environment. The problem is formulated as a linear programming (LP; or linear optimization) routine and daily minimization of peak non-coincident demand is sought to evaluate the robustness, reliability, and consistency of the battery dispatch algorithm. The LP routine leverages solar power and load forecasts to establish a load demand target (i.e., a minimum threshold to which demand can be reduced using a photovoltaic (PV) array and battery array) that is adjusted throughout the day in response to forecast error. The LP routine perfectly minimizes demand charge but forecasts errors necessitate adjustments to the perfect dispatch schedule. The PV+ system consistently reduced non-coincident demand on a metered load that has an elevated diurnal (i.e., daytime) peak. The average reduction in peak demand on weekdays (days that contain the elevated load peak) was 25.6% in July and 20.5% in November. By itself, the PV array (excluding the battery array) reduced the peak demand on average 19.6% in July and 11.4% in November. PV alone cannot perfectly mitigate load spikes due to inherent variability; the inclusion of a storage device reduced the peak demand a further 6.0% in July and 9.3% in November. Circumstances affecting algorithm robustness and peak reduction reliability are discussed.

R. Hanna; J. Kleissl; A. Nottrott; M. Ferry

2014-01-01T23:59:59.000Z

39

Abstract --Due to the potentially large number of Distributed Energy Resources (DERs) demand response, distributed  

E-Print Network [OSTI]

to accurately estimate the transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies, where dynamics on time scales of seconds to minutes demand response. The aggregated model efficiently includes statistical information of the population

Zhang, Wei

40

2012 SG Peer Review - Recovery Act: Enhanced Demand and Distribution Management Regional Demonstration - Craig Miller, NRECA  

Broader source: Energy.gov (indexed) [DOE]

Enhanced Distribution and Demand Management Enhanced Distribution and Demand Management Regional Demonstration Craig Miller Cooperative Research Network National Rural Electric Cooperative Association 8 June 2012 December 2008 Project Title Objective Life-cycle Funding ($K) $68 million with match Hardware: $43 million Research: $11.6 Co-op Labor: $13.4 Technical Scope * 23 Co-ops, Distributed Nationally * 275,000 components deployed * Meters & DR * Distribution Automation * Infrastructure * In home displays and web portals * Demand response over AMI * Prepaid metering * Interactive thermal storage * Electrical storage (20x10kWh, 1MWh 0.5MWh) * Renewable energy * Smart feeder switching * Conservation voltage reduction * Advanced metering infrastructure * Meter data management * Communications infrastructure * SCADA To advance the deployment of the smart grid

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure  

Science Journals Connector (OSTI)

In this paper an analytical study is reported to demonstrate the effects of demand response on distribution network voltages profile. Also a new approach for real time voltage control is proposed which uses emergency demand response program aiming at maintaining voltage profile in an acceptable range with minimum cost. This approach will be active in emergency conditions where in real time the voltages in some nodes leave their permissible ranges. These emergency conditions are Distributed Generation (DG) units and lines outage and unpredictable demand and renewable generations' fluctuations. The proposed approach does not need the load and renewable generation forecast data to regulate voltage. To verify the effectiveness and robustness of the proposed control scheme the proposed voltage control scheme is tested on a typical distribution network. The simulation results show the effectiveness and capability of the proposed real time voltage control model to maintain smart distribution network voltage in specified ranges in both normal and emergency conditions.

Alireza Zakariazadeh; Shahram Jadid

2014-01-01T23:59:59.000Z

42

Charged particle rapidity distributions at relativistic energies  

E-Print Network [OSTI]

- describe the measured net baryon rapidity distribution, we have included in the Lund string fragmentation model the popcorn mechanism for baryon-antibaryon production with equal probabilities for baryon-meson-antibaryon and baryon- antibaryon... to the hadronic interactions than PACS number~s!: 25.75.2q, 24.10.Lx owing effect on parton production via the gluon recombina- tion mechanism of Mueller-Qiu @11#. After the colliding nu- clei pass through each other, the Gyulassy-Wang model @12# is then used...

Lin, ZW; Pal, S.; Ko, Che Ming; Li, Ba; Zhang, B.

2001-01-01T23:59:59.000Z

43

Property:OpenEI/UtilityRate/DemandChargePeriod2FAdj | Open Energy  

Open Energy Info (EERE)

Fuel Adj Fuel Adj Pages using the property "OpenEI/UtilityRate/DemandChargePeriod2FAdj" Showing 25 pages using this property. (previous 25) (next 25) 0 02317cd6-a0ec-4111-8627-09664a2c083c + 0.84 + 1 13087919-93aa-4ea4-a980-9651069273c7 + 7.31 + 16aa4028-86d4-4e27-be38-fe817b497238 + 0.497 + 1a72490d-bb6a-4115-99a7-7dbc54cb1824 + 11.49 + 2 2367240f-bd28-4b73-ae88-b8f1d7ed70c1 + 0.497 + 24f48897-8a68-4ae0-99d9-ecc0281f7ece + 8.73 + 3 3bbd220c-c3da-4420-99dc-f2eeb44ce2e3 + 0.0295 + 4 448aa8c8-e896-439a-82c8-b61a66a80429 + 0.412 + 479553d6-3efc-4773-88d7-7c87804c0a65 + 0.91 + 4bc8edda-d0e1-40ee-aac2-c2b32603a6b4 + 6.5e-4 + 4d4a192d-b047-4a30-b719-27b28886d52b + 1.5 + 4e7a224a-8960-4bbf-8843-321a81d7c3a8 + 0.888 + 4f0014b5-64b1-4487-8c74-3e19564df58e + 0.402 +

44

Energy Dependent Growth of Nucleon and Inclusive Charged Hadron Distributions  

E-Print Network [OSTI]

In the Color Glass Condensate formalism, charged hadron p_{T} distributions in p+p collisions are studied by considering an energy-dependent broadening of nucleon's density distribution. Then, in the Glasma flux tube picture, the n-particle multiplicity distributions at different pseudo-rapidity ranges are investigated. Both of the theoretical results show good agreement with the recent experimental data from ALICE and CMS at \\sqrt{s}=0.9, 2.36, 7 TeV. The predictive results for p_{T} and multiplicity distributions in p+p and p+Pb collisions at the Large Hadron Collider are also given in this paper.

Wang, Hongmin; Sun, Xian-Jing

2015-01-01T23:59:59.000Z

45

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

Addressing Energy Demand through Demand Response:both the avoided energy costs (and demand charges) as wellCoordination of Energy Efficiency and Demand Response,

Shen, Bo

2013-01-01T23:59:59.000Z

46

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended to serve both  

E-Print Network [OSTI]

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended, requires a wide-area two-way communication system. DA and DSM devices (customer meters, switches, etc for both DA/DSM applications can be met. And a scheduling policy is proposed to provide the applications

Paris-Sud XI, Université de

47

Composition and On Demand Deployment of Distributed Brain Activity Analysis Application on Global Grids  

E-Print Network [OSTI]

1 Composition and On Demand Deployment of Distributed Brain Activity Analysis Application on Global are brain science and high-energy physics. The analysis of brain activity data gathered from the MEG and analyze brain functions and requires access to large-scale computational resources. The potential platform

Abramson, David

48

Further exploring the potential of residential demand response programs in electricity distribution  

Science Journals Connector (OSTI)

Abstract Smart grids play a key role in realizing climate ambitions. Boosting consumption flexibility is an essential measure in bringing the potential gains of smart grids to fruition. The collective scientific understanding of demand response programs argues that time-of-use tariffs have proven its merits. The findings upon which this conclusion rests are, however, primarily derived from studies covering energy-based time-of-use rates over fairly short periods of time. Hence, this empirical study set out with the intention of estimating the extent of response to a demand-based time-of-use electricity distribution tariff among Swedish single-family homes in the long term. The results show that six years after the implementation households still respond to the price signals of the tariff by cutting demand in peak hours and shifting electricity consumption from peak to off-peak hours. Studies conducted in the Nordic countries commonly include only homeowners and so another aim of the study was to explore the potential of demand response programs among households living in apartment buildings. The demand-based tariff proved to bring about similar, but not as marked, effects in rental apartments, whereas there are virtually no corresponding evidences of demand response in condominium apartments.

Cajsa Bartusch; Karin Alvehag

2014-01-01T23:59:59.000Z

49

A distributed demand-side management framework for the smart grid  

Science Journals Connector (OSTI)

Abstract This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides autonomously its own scheduling, and (2) a hybrid approach, where each user must schedule all his appliances. We analyze numerically these two approaches, showing that they are characterized practically by the same performance level in all the considered grid scenarios. We model the proposed system using a non-cooperative game theoretical approach, and demonstrate that our game is a generalized ordinal potential one under general conditions. Furthermore, we propose a simple yet effective best response strategy that is proved to converge in a few steps to a pure Nash Equilibrium, thus demonstrating the robustness of the power scheduling plan obtained without any central coordination of the operator or the customers. Numerical results, obtained using real load profiles and appliance models, show that the system-wide peak absorption achieved in a completely distributed fashion can be reduced up to 55%, thus decreasing the capital expenditure (CAPEX) necessary to meet the growing energy demand.

Antimo Barbato; Antonio Capone; Lin Chen; Fabio Martignon; Stefano Paris

2014-01-01T23:59:59.000Z

50

Topic 4: Demand Response A.H. MohsenianRad (U of T) 1Networking and Distributed Systems  

E-Print Network [OSTI]

Topic 4: Demand Response A.H. MohsenianRad (U of T) 1Networking and Distributed Systems Department;Definition of Demand Response Dr. Hamed Mohsenian-Rad Texas Tech UniversityCommunications and Control in Smart Grid · According to the U.S. Department of Energy: Demand response (DR) is defined as changes

Mohsenian-Rad, Hamed

51

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents [OSTI]

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2006-12-12T23:59:59.000Z

52

Genetic algorithm-based demand response scheme for electric vehicle charging  

Science Journals Connector (OSTI)

This paper presents a design and evaluates the performance of a charging task scheduler for electric vehicles, aiming at reducing the peak load and improving the service ratio in charging stations. Based on a consumption profile and the real-time task model consisting of actuation time, operation length, and deadline, the proposed scheduler fills the time table, by which the power controller turns on or off the electric connection switch to the vehicle on each time slot boundary. Genetic evolutions yield better results by making the initial population include both heuristic-generated schedules for fast convergence and randomly generated schedules for diversity loss compensation. Our heuristic scheme sequentially fills the time slots having lowest load for different orders such as deadline and operation length. The performance measurement result obtained from a prototype implementation reveals that our scheme can reduce the peak load for the given charging task sets by up to 4.9%, compared with conventional schemes.

Junghoon Lee; Gyung-Leen Park

2013-01-01T23:59:59.000Z

53

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network [OSTI]

Energy Resources and Demand Response under Uncertainty AfzalEnergy Resources and Demand Response under Uncertainty ?DER in conjunction with demand response (DR): the expected

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

54

Abstract--Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large  

E-Print Network [OSTI]

operation. As such Electrical Distribution Systems will require new planning strategies and tools, new1 Abstract-- Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large amount of distributed energy resources integration. The conventional

Paris-Sud XI, Université de

55

A Foundation of Demand-Side Resource Management in Distributed Systems  

Science Journals Connector (OSTI)

The theoretical problems of demand-side management are examined in without regard to the type of resource whose demand is to be managed, and the Maximum Demand problem is identified and addressed in a ... resourc...

Shrisha Rao

2010-01-01T23:59:59.000Z

56

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers  

E-Print Network [OSTI]

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

Rahman, A.K.M. Ashikur

57

Generation of Initial Kinetic Distributions for Simulation of Long-Pulse Charged Particle Beams with High Space-Charge intensity  

SciTech Connect (OSTI)

Self-consistent Vlasov-Poisson simulations of beams with high space-charge intensity often require specification of initial phase-space distributions that reflect properties of a beam that is well adapted to the transport channel--both in terms of low-order rms (envelope) properties as well as the higher-order phase-space structure. Here, we first review broad classes of kinetic distributions commonly in use as initial Vlasov distributions in simulations of unbunched or weakly bunched beams with intense space-charge fields including: the Kapchinskij-Vladimirskij (KV) equilibrium, continuous-focusing equilibria with specific detailed examples, and various non-equilibrium distributions, such as the semi-Gaussian distribution and distributions formed from specified functions of linear-field Courant-Snyder invariants. Important practical details necessary to specify these distributions in terms of usual accelerator inputs are presented in a unified format. Building on this presentation, a new class of approximate initial kinetic distributions are constructed using transformations that preserve linear-focusing single-particle Courant-Snyder invariants to map initial continuous-focusing equilibrium distributions to a form more appropriate for non-continuous focusing channels. Self-consistent particle-in-cell simulations are employed to show that the approximate initial distributions generated in this manner are better adapted to the focusing channels for beams with high space-charge intensity. This improved capability enables simulation applications that more precisely probe intrinsic stability properties and machine performance.

Lund, Steven M.; Kikuchi, Takashi; Davidson, Ronald C.

2007-04-03T23:59:59.000Z

58

Generation of initial Vlasov distributions for simulation of charged particle beams with high space-charge intensity  

SciTech Connect (OSTI)

Self-consistent Vlasov simulations of beams with high space-charge intensity often require specification of initial phase-space distributions that reflect properties of a beam that is well adapted to the transport channel, both in terms of low-order rms (envelope) properties as well as the higher-order phase-space structure. Here, we first review broad classes of distributions commonly in use as initial Vlasov distributions in simulations of beams with intense space-charge fields including: the Kapchinskij-Vladimirskij (KV) equilibrium, continuous-focusing equilibria with specific detailed examples, and various non-equilibrium distributions, such as the semi-Gaussian distribution and distributions formed from specified functions of linear-field Courant-Snyder invariants. Important practical details necessary to specify these distributions in terms of usual accelerator inputs are presented in a unified format. Building on this presentation, a new class of approximate initial distributions are constructed using transformations that preserve linear-focusing single-particle Courant-Snyder invariants to map initial continuous-focusing equilibrium distributions to a form more appropriate for non-continuous focusing channels. Self-consistent particle-in-cell simulations are employed to show that the approximate initial distributions generated in this manner are better adapted to the focusing channels for beams with high space-charge intensity. This improved capability enables simulation applications that more precisely probe intrinsic stability properties and machine performance.

Lund, S M; Kikuchi, T; Davidson, R C

2007-04-12T23:59:59.000Z

59

CHARGED POINT DEFECT IN RUTILE TIO2:FROM DEFECT CHARGE DISTRIBUTION TO DEFECT PHONON FREE ENERGY.  

E-Print Network [OSTI]

??The dominant charged point defects in transition metal oxides can change with temperature (T) and oxygen partial pressure (PO2) to control the electrical properties of… (more)

Li, Xin

2010-01-01T23:59:59.000Z

60

Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response  

Science Journals Connector (OSTI)

Abstract The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the non-discriminatory transaction platforms for providing necessary balancing services, where the market clearing (nodal or zonal prices depending on markets) is very close to real time operations of power systems. One of the primary functions of \\{RTMs\\} in modern power systems is establishing an efficient and effective mechanism for small DER and DR to participate in balancing market transactions, while handling their meteorological or intermittent characteristics, facilitating asset utilization, and stimulating their active responses. Consequently, \\{RTMs\\} are dedicated to maintaining the flexibility and reliability of power systems. This paper reviews advanced typical \\{RTMs\\} respectively in the North America, Australia and Europe, focusing on their market architectures and incentive policies for integrating DER and DR in electricity markets. In this paper, \\{RTMs\\} are classified into three groups: Group I applies nodal prices implemented by optimal power flow, which clears energy prices every 5 min. Group II applies zonal prices, with the time resolution of 5-min. Group III is a general balancing market, which clears zonal prices intro-hourly. The various successful advanced RTM experiences have been summarized and discussed, which provides a technical overview of the present \\{RTMs\\} integrating DER and DR.

Qi Wang; Chunyu Zhang; Yi Ding; George Xydis; Jianhui Wang; Jacob Østergaard

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Statistical charge distribution over dust particles in a non-Maxwellian Lorentzian plasma  

SciTech Connect (OSTI)

On the basis of statistical mechanics and charging kinetics, the charge distribution over uniform size spherical dust particles in a non-Maxwellian Lorentzian plasma is investigated. Two specific situations, viz., (i) the plasma in thermal equilibrium and (ii) non-equilibrium state where the plasma is dark (no emission) or irradiated by laser light (including photoemission) are taken into account. The formulation includes the population balance equation for the charged particles along with number and energy balance of the complex plasma constituents. The departure of the results for the Lorentzian plasma, from that in case of Maxwellian plasma, is graphically illustrated and discussed; it is shown that the charge distribution tends to results corresponding to Maxwellian plasma for large spectral index. The charge distribution predicts the opposite charging of the dust particles in certain cases.

Mishra, S. K. [Institute for Plasma Research (IPR), Gandhinagar-382428 (India); Misra, Shikha, E-mail: shikhamish@gmail.com [Centre for Energy Studies (CES), Indian Institute of Technology Delhi (IITD), New Delhi-110016 (India)

2014-07-15T23:59:59.000Z

62

Demand-Driven Algorithm for Sharing and Distribution of Photovoltaic Power in a Small Local Area Grid  

Science Journals Connector (OSTI)

The objective of installing a residential photovoltaic system is to cut the cost of the monthly electric bill. However, many homeowners, especially those with low-income, finds it difficult to invest in such systems because require substantial upfront ... Keywords: Demand Driven, Information and Communication Technology (ICT), Jordan, Photovoltaic, Power Distribution, Power Sharing, Renewable Energy

Mohammad Abu-Arqoub, Ghassan F. Issa, Ahmad F. Shubita, Abed Alkarim Banna

2014-01-01T23:59:59.000Z

63

Ionic Cloud Distribution close to a Charged Surface in the Presence of Salt  

E-Print Network [OSTI]

Despite its importance, the understanding of ionic cloud distribution close to a charged macroion under physiological salt conditions has remained very limited especially for strongly coupled systems with, for instance, multivalent counterions. Here we present a formalism that predicts both counterion and coion distributions in the vicinity of a charged macroion for an arbitrary amount of added salt and in both limits of mean field and strong coupling. The distribution functions are calculated explicitly for ions next to an infinite planar charged wall. We present a schematic phase diagram identifying different physical regimes in terms of electrostatic coupling parameter and bulk salt concentration.

Olli Punkkinen; Ali Naji; Rudolf Podgornik; Ilpo Vattulainen; Per-Lyngs Hansen

2007-12-29T23:59:59.000Z

64

Flywheel-Based Distributed Bus Signalling Strategy for the Public Fast Charging Station  

E-Print Network [OSTI]

to vehicle owners since the off-road time is similar as for refuelling at conventional public gas stations1 Flywheel-Based Distributed Bus Signalling Strategy for the Public Fast Charging Station Tomislav M. Guerrero, Senior Member, IEEE Abstract--Fast charging stations (FCS) are able to recharge plug

Vasquez, Juan Carlos

65

Measurements of Aerosol Charge and Size Distribution for Graphite, Gold, Palladium, and Silver Nanoparticles  

SciTech Connect (OSTI)

The role of charge on aerosol evolution and hence the nuclear source term has been an issue of interest, and there is a need for both experimental techniques and modeling for quantifying this role. Our focus here is on further exploration of a tandem differential mobility analyzer (TDMA) technique to simultaneously measure both the size and charge (positive, negative and neutral) dependent aerosol distributions. We have generated graphite, gold, silver, and palladium nanoparticles (aerosol) using a spark generator. We measure the electrical mobility-size distributions for these aerosols using a TDMA, and from these data we deduce the full charge-size distributions. We observe asymmetry in the particle size distributions for negative and positive charges. This asymmetry could have a bearing on the dynamics of charged aerosols, indicating that the assumption of symmetry for size distributions of negatively and positively charged particles in source term simulations may not be always appropriate. Also, the experimental technique should find applications in measurements of aerosol rate processes that are affected by both particle charge and size (e.g. coagulation, deposition, resuspension), and hence in modeling and simulation of the nuclear source term.

Simones, Matthew P.; Gutti, Veera R.; Meyer, Ryan M.; Loyalka, Sudarshan K.

2011-11-01T23:59:59.000Z

66

Visualization of Charge Distribution in a Lithium Battery Electrode  

E-Print Network [OSTI]

Distribution in Thin-Film Batteries. J. Electrochem. Soc.of Lithium Polymer Batteries. J. Power Sources 2002, 110,for Rechargeable Li Batteries. Chem. Mater. 2010, 15. Padhi,

Liu, Jun

2010-01-01T23:59:59.000Z

67

Long-term Framework for Electricity Distribution Access Charges  

E-Print Network [OSTI]

to the entrant. In some regions, like PJM in the US, the transmission expansion required to accommodate large power plants is of the same scale as the power plants. In such cases, deep connection charges avoid most of the problems facing... - as the change in the net present worth of future investment due to new entry. Our report argues that the old Electricity Association (EA) methodology has serious shortcomings. First, it is based on an ideal or virtual network using currently available best...

Jamasb, Tooraj; Neuhoff, Karsten; Newbery, David; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

68

Time-dependence ion charge state distributions of vacuum arcs: An interpretation involving atoms and charge exchange collisions  

SciTech Connect (OSTI)

Experimentally observed charge state distributions are known to be higher at the beginning of each arc discharge. Up to know, this has been attributed to cathode surface effects in terms of changes of temperature, chemical composition and spot mode. Here it is shown that the initial decay of charge states of cathodic arc plasmas may at least in part due to charge exchange collisions of ions with neutrals that gradually fill the discharge volume. Sources of neutrals may include evaporated atoms from macroparticles and still-hot craters of previously active arc spots. More importantly, atoms are also produced by energetic condensation of the cathodic arc plasma. Self-sputtering is significant when ions impact with near-normal angle of incidence, and ions have low sticking probability when impacting at oblique angle of incidence. Estimates show that the characteristic time for filling the near-cathode discharge volume agrees well with the charge state decay time, and the likelihood of charge exchange is reasonably large to be taken into account.

Anders, Andre

2004-08-27T23:59:59.000Z

69

Demand Response Projects: Technical and Market Demonstrations  

E-Print Network [OSTI]

Demand Response Projects: Technical and Market Demonstrations Philip D. Lusk Deputy Director Energy Analyst #12;PLACE CAPTION HERE. #12;#12;#12;#12;City of Port Angeles Demand Response History energy charges · Demand charges during peak period only ­ Reduced demand charges for demand response

70

High-energy Electron Scattering and the Charge Distributions of Selected Nuclei  

DOE R&D Accomplishments [OSTI]

Experimental results are presented of electron scattering by Ca, V, Co, In, Sb, Hf, Ta, W, Au, Bi, Th, and U, at 183 Mev and (for some of the elements) at 153 Mev. For those nuclei for which asphericity and inelastic scattering are absent or unimportant, i.e., Ca, V, Co, In, Sb, Au, and Bi, a partial wave analysis of the Dirac equation has been performed in which the nuclei are represented by static, spherically symmetric charge distributions. Smoothed uniform charge distributions have been assumed; these are characterized by a constant charge density in the central region of the nucleus, with a smoothed-our surface. Essentially two parameters can be determined, related to the radium and to the surface thickness. An examination of the Au experiments show that the functional forms of the surface are not important, and that the charge density in the central regions is probably fairly flat, although it cannot be determined very accurately.

Hahn, B.; Ravenhall, D. G.; Hofstadter, R.

1955-10-00T23:59:59.000Z

71

Ion distributions at charged aqueous surfaces: Synchrotron X-ray scattering studies  

SciTech Connect (OSTI)

Surface sensitive synchrotron X-ray scattering studies were performed to obtain the distribution of monovalent ions next to a highly charged interface at room temperature. To control surface charge density, lipids, dihexadecyl hydrogen-phosphate (DHDP) and dimysteroyl phosphatidic acid (DMPA), were spread as monolayer materials at the air/water interface, containing CsI at various concentrations. Five decades in bulk concentrations (CsI) are investigated, demonstrating that the interfacial distribution is strongly dependent on bulk concentration. We show that this is due to the strong binding constant of hydronium H3O+ to the phosphate group, leading to proton-transfer back to the phosphate group and to a reduced surface charge. Using anomalous reflectivity off and at the L3 Cs+ resonance, we provide spatial counterion (Cs+) distributions next to the negatively charged interfaces. The experimental ion distributions are in excellent agreement with a renormalized surface charge Poisson-Boltzmann theory for monovalent ions without fitting parameters or additional assumptions. Energy Scans at four fixed momentum transfers under specular reflectivity conditions near the Cs+ L3 resonance were conducted on 10-3 M CsI with DHDP monolayer materials on the surface. The energy scans exhibit a periodic dependence on photon momentum transfer. The ion distributions obtained from the analysis are in excellent agreement with those obtained from anomalous reflectivity measurements, providing further confirmation to the validity of the renormalized surface charge Poisson-Boltzmann theory for monovalent ions. Moreover, the dispersion corrections f0 and f00 for Cs+ around L3 resonance, revealing the local environment of a Cs+ ion in the solution at the interface, were extracted simultaneously with output of ion distributions.

Bu, Wei

2009-08-15T23:59:59.000Z

72

Distribution Load Modelling for Demand Side Management and End-Use Efficiency  

Science Journals Connector (OSTI)

The problem of electric load modelling for low aggregation levels is addressed in the paper, being the object to obtain good “response” behaviour models of any group of loads in an electric energy distribution...

C. Álvarez; A. Gabaldón

1994-01-01T23:59:59.000Z

73

Charge-distribution effect of imaging molecular structure by high-order above-threshold ionization  

SciTech Connect (OSTI)

Using a triatomic molecular model, we show that the interference pattern in the high-order above-threshold ionization (HATI) spectrum depends dramatically on the charge distribution of the molecular ion. Therefore the charge distribution can be considered a crucial factor for imaging a molecular geometric structure. Based on this study, a general destructive interference formula for each above-threshold ionization channel is obtained for a polyatomic molecule concerning the positions and charge values of each nuclei. Comparisons are made for the HATI spectra of CO{sub 2}, O{sub 2}, NO{sub 2}, and N{sub 2}. These results may shed light on imaging complex molecular structure by the HATI spectrum.

Wang Bingbing; Fu Panming [Laboratory of Optical Physics, Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100080 (China); Guo Yingchun [Department of Physics, State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062 (China); Zhang Bin; Zhao Zengxiu [Department of Physics, National University of Defense Technology, Changsha 410073 (China); Yan Zongchao [Department of Physics, University of New Brunswick, Fredericton, New Brunswick E3B 5A3 (Canada)

2010-10-15T23:59:59.000Z

74

Power loss of a single electron charge distribution confined in a quantum plasma  

SciTech Connect (OSTI)

The dielectric tensor for a quantum plasma is derived by using a linearized quantum hydrodynamic theory. The wave functions for a nanostructure bound system have been investigated. Finally, the power loss for an oscillating charge distribution of a mixed state will be calculated, using the dielectric function formalism.

Mehramiz, A. [Department of Atomic and Molecular Physics, Faculty of Physics, University of Tabriz, East Azerbaijan 51664 (Iran, Islamic Republic of); Department of Physics, Faculty of Science, I. K. Int'l University, Qazvin 34149-16818 (Iran, Islamic Republic of); Mahmoodi, J. [Department of Physics, Faculty of Science, University of Qom, Qom 3716146611 (Iran, Islamic Republic of); Sobhanian, S. [Department of Atomic and Molecular Physics, Faculty of Physics, University of Tabriz, East Azerbaijan 51664 (Iran, Islamic Republic of)

2011-05-15T23:59:59.000Z

75

Real-Time PEV Charging/Discharging Coordination in Smart Distribution Systems  

E-Print Network [OSTI]

motivated by the recent growth of renewable energy sources and the almost universal availability of electric--Distribution systems, energy management, elec- tric vehicle, smart parking lot, M/G/ queue. I. INTRODUCTION ECONOMIC are operating in many countries around the world. It has been shown that the PEV charging process

Zhuang, Weihua

76

Distribution network planning integrating charging stations of electric vehicle with V2G  

Science Journals Connector (OSTI)

Abstract Accompanied by the popularization of EVs, the planning of electric vehicle (EV) charging stations becomes an important concern of distribution network planning. In this paper, the load density method is introduced to determine the optimal capacity of the EV charging stations in the areas to be planned, and the difference between 1 and the weight coefficients obtained by the analytic hierarchy process (AHP) method is used to calculate the cost coefficients of the charging station. The objective function of the optimal distribution network planning model should be the minimal cost of the fixed investments, the operational costs and the maintenance costs including the substations, charging stations and feeders. In this model, the effect of vehicle-to-grid (V2G) is considered, i.e., the EV is respectively treated as both the load and the source. Moreover, the electricity price volatility has been taken into consideration. In this case, EV owners can be guided to charge and discharge EV orderly. The ordinal optimization approach is applied to get the best solution. The results of the case study based on IEEE 54 nodes model show the feasibility and effectiveness of the proposed model.

Xiangning Lin; Jinwen Sun; Shengfang Ai; Xiaoping Xiong; Yunfei Wan; Dexian Yang

2014-01-01T23:59:59.000Z

77

Statistics of the Charge Distribution for a Localized Flaw in a Semiconductor  

Science Journals Connector (OSTI)

A localized flaw such as a vacancy-interstitial pair, gold atom, or small void is considered. It is found that the charge situation can be described by a set of energy levels which are independent of the Fermi level but which are temperature-dependent. If the flaw is electrically neutral for a certain position of the Fermi level, then as the Fermi level is raised from the neutral level successively above each higher-lying level of the set, the flaw acquires an additional electron unit of negative charge. These levels are called the first-acceptor level, second-acceptor level, etc. The energy levels are essentially equal to kTln(Z1Z2), where Z1 and Z2 are the contributions of the flaw to the state sum for the system for the two conditions of charge. Similarly, as the Fermi level is lowered below the neutral point, it passes the first-donor level, second-donor level, etc., and the flaw acquires charges of plus one, plus two, etc. The statistics are derived for the distribution for the various conditions of charge, referred to as first-donor condition, neutral condition, first-acceptor condition, etc.

W. Shockley and J. T. Last

1957-07-15T23:59:59.000Z

78

IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 2, MARCH 2014 861 An Optimal and Distributed Demand Response  

E-Print Network [OSTI]

of demand response management for the future smart grid that integrates plug-in electric vehicles for augmented Lagrangian. I. INTRODUCTION I N THE electricity market, demand response [1] is a mech- anism to manage users' consumption behavior under spe- cific supply conditions. The goal of demand response

Nehorai, Arye

79

Ionic density distributions near the charged colloids: Spherical electric double layers  

SciTech Connect (OSTI)

We have studied the structure of the spherical electric double layers on charged colloids by a density functional perturbation theory, which is based both on the modified fundamental-measure theory for the hard spheres and on the one-particle direct correlation functional (DCF) for the electronic residual contribution. The contribution of one-particle DCF has been approximated as the functional integration of the second-order correlation function of the ionic fluids in a bulk phase. The calculated result is in very good agreement with the computer simulations for the ionic density distributions and the zeta potentials over a wide range of macroion sizes and electrolyte concentrations, and compares with the results of Yu et al. [J. Chem. Phys. 120, 7223 (2004)] and modified Poisson-Boltzmann approximation [L. B. Bhuiyan and C. W. Outhwaite, Condens. Matter Phys. 8, 287 (2005)]. The present theory is able to provide interesting insights about the charge inversion phenomena occurring at the interface.

Kim, Eun-Young; Kim, Soon-Chul, E-mail: sckim@andong.ac.kr [Department of Physics, Andong National University, Andong 760-749 (Korea, Republic of)] [Department of Physics, Andong National University, Andong 760-749 (Korea, Republic of)

2013-11-21T23:59:59.000Z

80

Physics Qualifier Part I--Spring 2010 7-Minute Questions 1. An electric charge distribution produces an electric field  

E-Print Network [OSTI]

Physics Qualifier Part I--Spring 2010 7-Minute Questions 1. An electric charge distribution produces an electric field where c and are constants. Find the net charge within the radius r = 1/ . 2/liter. Compute the cost of the electrical energy required by the refrigerators that cool the helium gas

Yavuz, Deniz

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

2012 CERTS R&M Peer Review - Summary: Evaluating the Effects of Managing Controllable Demand and Distributed Energy - Tim Mount  

Broader source: Energy.gov (indexed) [DOE]

the Effects of Managing Controllable Demand and Distributed Energy the Effects of Managing Controllable Demand and Distributed Energy Resources Locally on System Performance and Costs Project Lead: Tim Mount, Alejandro D. Dominguez-Garcia, Ray Zimmerman 1. Project Objective The objective of this project is to use the new multi-period version of the Cornell SuperOPF to analyze the system and economic effects of having high penetrations of renewable energy on a network and to determine effective ways to mitigate the inherent variability of these sources. With the new capabilities of the SuperOPF, it will now be possible to evaluate the effects of shifting demand from peak to off-peak periods. Previous research has shown that higher penetrations of renewables are associated with higher annual costs for conventional installed generating capacity ($/MW/Year) due to

82

Demand Reduction  

Broader source: Energy.gov [DOE]

Grantees may use funds to coordinate with electricity supply companies and utilities to reduce energy demands on their power systems. These demand reduction programs are usually coordinated through...

83

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

Broader source: Energy.gov (indexed) [DOE]

all days Percentage of charging units connected on single calendar day with peak electricity demand Charging Demand: Range of Aggregate Electricity Demand versus Time of Day...

84

Integrated offering strategy for profit enhancement of distributed resources and demand response in microgrids considering system uncertainties  

Science Journals Connector (OSTI)

Abstract Due to the uncertain nature and limited predictability of wind and PV generated power, these resources participating in most of electricity markets are subject to significant deviation penalties during market settlements. In order to balance the unpredicted wind and PV power variations, system operators need to schedule additional reserves. This paper presents the optimal integrated participation model of wind and PV energy including demand response, storage devices, and dispatchable distributed generations in microgrids or virtual microgrids to increase their revenues in the intra-market. This market is considered 3–7 h before the delivered time, so that the amount of the contracted energy could be updated to reduce the produced power deviation of microgrid. A stochastic programming approach is considered in the development of the proposed bidding strategies for microgrid producers and loads. The optimization model is characterized by making the analysis of several scenarios and simultaneously treating three kinds of uncertainty including wind and PV power, intra-market, and imbalance prices. In order to predict these uncertainty variables, a neuro-fuzzy based approach has been applied. Historic data are used to forecast future prices and wind and PV power production in the adjustment markets. Also, a probabilistic approach based on the error of forecasted and real historic data is considered for estimating the future IM and imbalance prices of wind and PV produced power. Further, a test case is applied to example the microgrid using the Spanish market rules during one week, month, and year period to illustrate the potential benefits of the proposed joint biding strategy. The simulations results, carried out by MATLAB/optimization toolbox.

H. Shayeghi; B. Sobhani

2014-01-01T23:59:59.000Z

85

Model calculation of anisotropic charge and magnetic moment distribution on a Ni(001) surface  

Science Journals Connector (OSTI)

Anisotropies in the electronic charge and moment distribution on a (001) surface of Ni are influenced by the kinetic and Coulomb energies as well as by exchange and correlations. By using a simple model Hamiltonian the various contributions are analyzed. In particular we consider the effects of nonlocal exchange and correlation energies on the anisotropies. When we simulate a local exchange and correlation approximation, we find a decrease in the surface anisotropies (e.g., a moment in the 3z2-r2 orbital). The accompanying relative energy changes are very small, i.e., of the order of 10-4. The same holds true for anisotropies in the exchange splittings. A comparison is attempted between the results of the present model and recent ab initio calculations for the Ni surface in which the local-spin-density approximation is applied.

A. M. Oles and P. Fulde

1984-10-15T23:59:59.000Z

86

Central depression in the charge distributions of He3 and He4  

Science Journals Connector (OSTI)

Recently Ballot and Fabre de la Ripelle pointed out that the central depression in the "empirical" point proton distribution of He3 could be attributed to the two-pion-exchange three-body force. We examine this mechanism by constructing simple phenomenological wave functions of the form of f(x)f(y)f(z)[1-?g(x)g(y)(3 cos2?z-1)]n, where x, y, and z are the interparticle distances, cos?z=x?·y?xy, n=12 or 1, and ? implies the cyclic summation over x, y, and z. The angle dependent term simulates the effect of the two-pion-exchange three-body force. We find that the density near the origin is indeed very sensitive to the angle dependent term of the model wave function, and the central depression can be easily fitted. The analysis is extended to He4, with similar results. We then try to relate the model wave function of He3 to the two-pion-exchange three-body force by a variational calculation. About one third of the phenomenological angle dependent term can be obtained, but the result is quite sensitive to the short-range part of the three-body force.NUCLEAR STRUCTURE Charge distributions of He3 and He4, effect of three-body force.

Y. Nogami; N. Ohtsuka; L. Consoni

1981-04-01T23:59:59.000Z

87

Sandia National Laboratories: demand response inverter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

demand response inverter ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities,...

88

The impacts of solar water heating in low-income households on the distribution utility’s active, reactive and apparent power demands  

Science Journals Connector (OSTI)

In Brazilian low-income households, water-heating requirements are typically met by electrical showerheads. On average, 73.1% of all residential units in the country are equipped with these resistance-heating devices, with nominal powers ranging from 3 to 8 kW. This situation imposes a considerable burden on the electricity utility companies, since electrical showerheads typically represent the highest load but the lowest utilization (load factor) in a residential consumer unit. Furthermore, typical utilization times coincide with, and contribute to, the electrical power demand peaks in Brazil, rendering these low-cost, high-power electrical devices a high-cost consumer for the electrical system to cater for. For low-income residential consumers, electricity tariffs are subsidized, and utilities must therefore make a considerable investment in infrastructure for a limited return. In this paper we analyze the impacts of solar water heating in low-income households on the distribution utility active, reactive and apparent power demands. We have monitored a statistically representative group of low-income residences equipped with a compact domestic solar water heater in Florianopolis – Brazil for 1 year. We show that in comparison with identical residential units using electrical showerheads, with the adoption of solar water heating the reductions in the active, reactive and apparent power demands on the distribution utility were 49%, 29% and 49% respectively.

Helena F. Naspolini; Ricardo Rüther

2011-01-01T23:59:59.000Z

89

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

90

Self-Assembly of the Ionic Peptide EAK16: The Effect of Charge Distributions on Self-Assembly  

E-Print Network [OSTI]

Self-Assembly of the Ionic Peptide EAK16: The Effect of Charge Distributions on Self-Assembly S understanding of self-assembly phenomena of naturally occurring peptides/proteins. Here, we study the influence of molecular architecture and interactions on the self-assembly of model peptides (EAK16s), using both

Bechhoefer, John

91

On making energy demand and network constraints compatible in the last mile of the power grid  

Science Journals Connector (OSTI)

Abstract In the classical electricity grid power demand is nearly instantaneously matched by power supply. In this paradigm, the changes in power demand in a low voltage distribution grid are essentially nothing but a disturbance that is compensated for by control at the generators. The disadvantage of this methodology is that it necessarily leads to a transmission and distribution network that must cater for peak demand. So-called smart meters and smart grid technologies provide an opportunity to change this paradigm by using demand side energy storage to moderate instantaneous power demand so as to facilitate the supply-demand match within network limitations. A receding horizon model predictive control method can be used to implement this idea. In this paradigm demand is matched with supply, such that the required customer energy needs are met but power demand is moderated, while ensuring that power flow in the grid is maintained within the safe operating region, and in particular peak demand is limited. This enables a much higher utilisation of the available grid infrastructure, as it reduces the peak-to-base demand ratio as compared to the classical control methodology of power supply following power demand. This paper investigates this approach for matching energy demand to generation in the last mile of the power grid while maintaining all network constraints through a number of case studies involving the charging of electric vehicles in a typical suburban low voltage distribution network in Melbourne, Australia.

Iven Mareels; Julian de Hoog; Doreen Thomas; Marcus Brazil; Tansu Alpcan; Derek Jayasuriya; Valentin Müenzel; Lu Xia; Ramachandra Rao Kolluri

2014-01-01T23:59:59.000Z

92

Demand Matrix for Information, Measuring, and Control System for the Diagnostics and Safety of Gazprom Gas Distribution Stations  

Science Journals Connector (OSTI)

We consider the salient aspects of unification of the diagnostic parameters necessary for optimally managing the development of the OAO Gazprom system of gas distribution stations now functioning or being overhau...

Yu. I. Esin; V. M. Klishchevskaya; N. G. Petrov; G. A. Sarychev…

2004-05-01T23:59:59.000Z

93

Dynamically generated electric charge distributions in Abelian projected SU(2) lattice gauge theories  

E-Print Network [OSTI]

We show in the maximal Abelian gauge the dynamical electric charge density generated by the coset fields, gauge fixing and ghosts shows antiscreening as in the case of the non-Abelian charge. We verify that with the completion of the ghost term all contributions to flux are accounted for in an exact lattice Ehrenfest relation.

A. Hart; R. W. Haymaker; Y. Sasai

1998-08-28T23:59:59.000Z

94

Measurements of the distribution of adenylate concentrations and adenylate energy charge across Pseudomonas aeruginosa biofilms.  

Science Journals Connector (OSTI)

...increase in adenylate energy charge of about 0.2...the biofilm. However, energy charge values were generally...indicator of the energetic status of living cells is the...sensitivity would allow us to measure adenylates...intermediate carriers of chemical energy linking catabo- lism...

S L Kinniment; J W Wimpenny

1992-05-01T23:59:59.000Z

95

DNA search efficiency is modulated by charge composition and distribution in the intrinsically disordered tail  

Science Journals Connector (OSTI)

...the charges on the tail, ?r?, calculated as {sigma}ri...along the tail. Values of ?r? range from 0–1, where a value of zero indicates that...3 – 14 . 13 Tran HT Mao A Pappu RV ( 2008 ) Role of backbone-solvent...Crick SL Vitalis A Chicoine CL Pappu RV ( 2010 ) Net charge per residue modulates...

Dana Vuzman; Yaakov Levy

2010-01-01T23:59:59.000Z

96

Transverse-momentum and pseudorapidity distributions of charged hadrons in pp collisions at sqrt(s) = 7 TeV  

SciTech Connect (OSTI)

Charged-hadron transverse-momentum and pseudorapidity distributions in proton-proton collisions at {radical}s = 7 TeV are measured with the inner tracking system of the CMS detector at the LHC. The charged-hadron yield is obtained by counting the number of reconstructed hits, hit-pairs, and fully reconstructed charged-particle tracks. The combination of the three methods gives a charged-particle multiplicity per unit of pseudorapidity dN{sub ch}/d{eta}|{eta}|<0.5 = 5.78 {+-} 0.01 (stat.) {+-} 0.23 (syst.) for non-single-diffractive events, higher than predicted by commonly used models. The relative increase in charged-particle multiplicity from {radical}s = 0.9 to 7 TeV is 66.1% {+-} 1.0% (stat.) {+-} 4.2% (syst.). The mean transverse momentum is measured to be 0.545 {+-} 0.005 (stat.) {+-} 0.015 (syst.) GeV/c. The results are compared with similar measurements at lower energies.

Khachatryan, Vardan; Sirunyan, Albert M.; Tumasyan, Armen; Adam, Wolfgang; Bergauer, Thomas; Dragicevic, Marko; Er, Janos; Fabjan, Christian; Friedl, Markus; Fruehwirth, Rudolf; Ghete, Vasile Mihai; /Yerevan Phys. Inst. /Vienna, OAW /CERN /Minsk, High Energy Phys. Ctr. /Antwerp U., WISINF /Vrije U., Brussels /Brussels U. /Gent U. /Louvain U. /UMH, Mons /Rio de Janeiro, CBPF /Rome U. /INFN, Rome /CERN /Turin U. /INFN, Turin /Piemonte Orientale U., Novara /Trieste U. /INFN, Trieste /CHEP, Taegu /Chonnam Natl. U. /Korea U. /UCLA /CERN /UC, Riverside /Budapest, RMKI /UC, San Diego /UC, Santa Barbara /Caltech /Carnegie Mellon U. /Colorado U. /Cornell U. /Fairfield U.

2010-05-01T23:59:59.000Z

97

Measurements of the distribution of adenylate concentrations and adenylate energy charge across Pseudomonas aeruginosa biofilms.  

Science Journals Connector (OSTI)

...function of biofilms. Wiley Interscience, New York. 29. Wimpenny, J. W. T., A. Peters...function of biofilms. Wiley Interscience, New York. 30. Witzel, K. P. 1979. The adenylate energy charge as a measure of microbial activities...

S L Kinniment; J W Wimpenny

1992-05-01T23:59:59.000Z

98

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

Broader source: Energy.gov (indexed) [DOE]

Max electricity demand across all days Min electricity demand across all days Electricity demand on single calendar day with highest peak Charging Unit Usage Residential Level 2...

99

Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues  

Science Journals Connector (OSTI)

...Mukhopadhyay S Krishnan R Lemke EA Lindquist S Deniz...SL Vitalis A Chicoine CL Pappu RV ( 2010 ) Net charge per...2-12. 9. Vitalis A & Pappu R (2009) ABSINTH: A new...Mao AH, Steffen AT, & Pappu RV (2012) Improved atomistic...

Rahul K. Das; Rohit V. Pappu

2013-01-01T23:59:59.000Z

100

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

102

Role of Charge Distribution in the Reactant and Product in Double Layer Effects:? Construction of Corrected Tafel Plots  

Science Journals Connector (OSTI)

Role of Charge Distribution in the Reactant and Product in Double Layer Effects:? Construction of Corrected Tafel Plots ... Figure 2 Plot of the dimensionless potential drop across the diffuse layer according to MC simulations, ?d(MC), plotted against the same quantity estimated by the Gouy?Chapman model ?d(GC). ... The calculated rate constants for reduction of Eu(III) in 0.3M NaClO4 + 10-3 M HClO4 are in qualitative agreement (slightly lower) with the data reported by Elzanowska et al.35 and Niki and Mizota. ...

Maria Yu. Rusanova; Galina A. Tsirlina; Renat R. Nazmutdinov; W. Ronald Fawcett

2005-01-27T23:59:59.000Z

103

Solvent Dependence on Bond Length Alternation and Charge Distribution in Phenol Blue: A Car?Parrinello Molecular Dynamics Investigation  

Science Journals Connector (OSTI)

Solvent Dependence on Bond Length Alternation and Charge Distribution in Phenol Blue: A Car?Parrinello Molecular Dynamics Investigation ... (4) The probing nature of these molecules is due to the effect of the polarity of the solvation shell in changing the electron excitation energy of the indicator dye. ... (23) The usual theoretical approach to tune the bond length alternation was to apply a static electric field(20, 25) or to optimize the structure by placing “sparkles” (negative or positive ions) close to the donor or acceptor groups of these conjugated systems. ...

N. Arul Murugan; Zilvinas Rinkevicius; Hans Ågren

2009-04-02T23:59:59.000Z

104

Nearest-neighbor distributions of free radicals produced within charged-particle tracks in liquid water  

E-Print Network [OSTI]

for 20-MeV alpha particles compared to maximum double strand break distance INTRODUCTION All forms of ionizing radiation eventually produce charged particles which are responsible for depositing all of the energy to the medium being irradiated. We... quantify this energy deposition in terms of absorbed dose. The definition of absorbed dose is the energy absorbed per unit mass from any kind of ionizing radiation in any type of matter (2). It has long been recognized that different types of radiation...

Smith, Miles Clay

2012-06-07T23:59:59.000Z

105

Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Application of Distribution Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method Preprint Michael Kuss, Tony Markel, and William Kramer Presented at the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition Shenzhen, China November 5 - 9, 2010 Conference Paper NREL/CP-5400-48827 January 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes.

106

Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources  

E-Print Network [OSTI]

Increased penetration of plug-in electric vehicles (PEVs) will necessitate deployment of numerous PEV chargers. Pairing these chargers with renewable distributed generation (DG) and storage can potentially alleviate negative ...

Gunter, Samantha Joellyn

107

Sheet beam model for intense space-charge: with application to Debye screening and the distribution of particle oscillation frequencies in a thermal equilibrium beam  

SciTech Connect (OSTI)

A one-dimensional Vlasov-Poisson model for sheet beams is reviewed and extended to provide a simple framework for analysis of space-charge effects. Centroid and rms envelope equations including image charge effects are derived and reasonable parameter equivalences with commonly employed 2D transverse models of unbunched beams are established. This sheet beam model is then applied to analyze several problems of fundamental interest. A sheet beam thermal equilibrium distribution in a continuous focusing channel is constructed and shown to have analogous properties to two- d three-dimensional thermal equilibrium models in terms of the equilibrium structure and Deybe screening properties. The simpler formulation for sheet beams is exploited to explicitly calculate the distribution of particle oscillation frequencies within a thermal equilibrium beam. It is shown that as space-charge intensity increases, the frequency distribution becomes broad, suggesting that beams with strong space-charge can have improved stability.

Lund, Steven M.; Friedman, Alex; Bazouin, Guillaume

2011-01-10T23:59:59.000Z

108

Molecular dynamics studies on the NMR structures of rabbit prion protein wild-type and mutants: surface electrostatic charge distributions  

E-Print Network [OSTI]

Prion is a misfolded protein found in mammals that causes infectious diseases of the nervous system in humans and animals. Prion diseases are invariably fatal and highly infectious neurodegenerative diseases that affect a wide variety of mammalian species such as sheep and goats, cattle, deer, elk and humans etc. Recent studies have shown that rabbits have a low susceptibility to be infected by prion diseases with respect to other animals including humans. The present study employs molecular dynamics (MD) means to unravel the mechanism of rabbit prion proteins (RaPrPC) based on the recently available rabbit NMR structures (of the wild-type and its two mutants of two surface residues). The electrostatic charge distributions on the protein surface are the focus when analysing the MD trajectories. It is found that we can conclude that surface electrostatic charge distributions indeed contribute to the structural stability of wild-type RaPrPC; this may be useful for the medicinal treatment of prion diseases.

Zhang, Jiapu

2014-01-01T23:59:59.000Z

109

Workplace Charging Challenge Partner: Southern California Edison...  

Broader source: Energy.gov (indexed) [DOE]

of determining the need for PEV charging at the workplace and the prospect for demand response application. Grey plug-in electric vehicle at charging station. Additional...

110

Demand Response  

Broader source: Energy.gov (indexed) [DOE]

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

111

Demand Response and Open Automated Demand Response  

E-Print Network [OSTI]

LBNL-3047E Demand Response and Open Automated Demand Response Opportunities for Data Centers G described in this report was coordinated by the Demand Response Research Center and funded by the California. Demand Response and Open Automated Demand Response Opportunities for Data Centers. California Energy

112

Congestion control in charging of electric vehicles  

E-Print Network [OSTI]

The increasing penetration of electric vehicles over the coming decades, taken together with the high cost to upgrade local distribution networks, and consumer demand for home charging, suggest that managing congestion on low voltage networks will be a crucial component of the electric vehicle revolution and the move away from fossil fuels in transportation. Here, we model the max-flow and proportional fairness protocols for the control of congestion caused by a fleet of vehicles charging on distribution networks. We analyse the inequality in the charging times as the vehicle arrival rate increases, and show that charging times are considerably more uneven in max-flow than in proportional fairness. We also analyse the onset of instability, and find that the critical arrival rate is indistinguishable between the two protocols.

Carvalho, Rui; Gibbens, Richard; Kelly, Frank

2015-01-01T23:59:59.000Z

113

Commercial & Industrial Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

114

High Temperatures & Electricity Demand  

E-Print Network [OSTI]

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

115

Ion distribution around a charged rod in one and two component solvents: Preferential solvation and first order ionization phase transition  

E-Print Network [OSTI]

In one and two component solvents, we calculate the counterion distribution around a charged rod treating the degree of ionization $\\alpha$ as an annealed variable dependent on its local environment. In the one component case, $\\alpha$ is determined under various conditions without and with salt. In the two component case, we take into account the preferential solvation of the counterions and the ionized monomers and the short-range interaction between the rod and the solvent without salt. It then follows a composition-dependent mass action law. Mesoscopic variations of the composition and the counterions are produced around a chraged rod, which sensitively depend on various parameters of the molecular interactions. Furthermore, we predict a first order phase transition of weak-to-strong dissociation for strong preferential solvation. It can occur in expanded states of a polymer chain. This transition line starts from a point on the solvent coexistence curve and ends at a critical point in the plane of the temperature and the solvent composition. The composition change around a charged rod is long-ranged near the solvent critical point.

Ryuichi Okamoto; Akira Onuki

2009-05-10T23:59:59.000Z

116

Influence of Electron-Impact Multiple Ionization on Equilibrium and Dynamic Charge State Distributions: A Case Study Using Iron  

E-Print Network [OSTI]

We describe the influence of electron-impact multiple ionization (EIMI) on the ionization balance of collisionally ionized plasmas. We are unaware of any previous ionization balance calculations that have included EIMI, which is usually assumed to be unimportant. Here, we incorporate EIMI cross-section data into calculations of both equilibrium and non-equilibrium charge-state distributions (CSDs). For equilibrium CSDs, we find that EIMI has only a small effect and can usually be ignored. However, for non-equilibrium plasmas the influence of EIMI can be important. In particular, we find that for plasmas in which the temperature oscillates there are significant differences in the CSD when including versus neglecting EIMI. These results have implications for modeling and spectroscopy of impulsively heated plasmas, such as nanoflare heating of the solar corona.

Hahn, Michael

2014-01-01T23:59:59.000Z

117

Charged-Particle Thermonuclear Reaction Rates: I. Monte Carlo Method and Statistical Distributions  

E-Print Network [OSTI]

A method based on Monte Carlo techniques is presented for evaluating thermonuclear reaction rates. We begin by reviewing commonly applied procedures and point out that reaction rates that have been reported up to now in the literature have no rigorous statistical meaning. Subsequently, we associate each nuclear physics quantity entering in the calculation of reaction rates with a specific probability density function, including Gaussian, lognormal and chi-squared distributions. Based on these probability density functions the total reaction rate is randomly sampled many times until the required statistical precision is achieved. This procedure results in a median (Monte Carlo) rate which agrees under certain conditions with the commonly reported recommended "classical" rate. In addition, we present at each temperature a low rate and a high rate, corresponding to the 0.16 and 0.84 quantiles of the cumulative reaction rate distribution. These quantities are in general different from the statistically meaningless "minimum" (or "lower limit") and "maximum" (or "upper limit") reaction rates which are commonly reported. Furthermore, we approximate the output reaction rate probability density function by a lognormal distribution and present, at each temperature, the lognormal parameters miu and sigma. The values of these quantities will be crucial for future Monte Carlo nucleosynthesis studies. Our new reaction rates, appropriate for bare nuclei in the laboratory, are tabulated in the second paper of this series (Paper II). The nuclear physics input used to derive our reaction rates is presented in the third paper of this series (Paper III). In the fourth paper of this series (Paper IV) we compare our new reaction rates to previous results.

Richard Longland; Christian Iliadis; Art Champagne; Joe Newton; Claudio Ugalde; Alain Coc; Ryan Fitzgerald

2010-04-23T23:59:59.000Z

118

Frequency dependence of microparticle charge in a radio frequency discharge with Margenau electron velocity distribution  

SciTech Connect (OSTI)

rf discharges are widely used in complex plasma experiments. In this paper, we theoretically investigate the dependence of the particle floating potential on the discharge frequency, assuming the model Margenau expression for the electron velocity distribution function. In doing so we use the orbital motion limited cross section to calculate the electron flux to the particle and collision enhanced collection approximation for the ion flux to the particle. The floating potential is then obtained from the flux balance condition. It is shown that for typical plasma conditions in laboratory rf discharges, normalized floating potential grows with increase of the discharge frequency in collisionless regime and decreases in weakly collisional regime. However, variations in the floating potential are usually small when plasma parameters do not depend on the rf frequency.

Du, Cheng-Ran; Khrapak, Sergey A.; Antonova, Tetyana; Steffes, Bernd; Thomas, Hubertus M.; Morfill, Gregor E. [Max Plank Institute for Extraterrestrial Physics, Garching 85741 (Germany)

2011-01-15T23:59:59.000Z

119

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

120

Determination of Fe charge-state distributions in the Princeton large torus by Bragg crystal x-ray spectroscopy  

Science Journals Connector (OSTI)

A curved-crystal Bragg x-ray spectrometer has been used to measure K? or 1s-2p radiation from highly stripped Fexviii-Fexxv impurity ions in the Princeton large torus tokamak. The spectrometer has sufficient energy resolution (?4 eV at 6400 eV) to distinguish between the different ionization states of iron by measuring the energy shift of the K? x rays. The measured wavelengths agree well with theory and with spectra from solar flares and from laser-produced plasmas. The distribution of Fe charge states in the center of the discharge has been inferred from a comparison of the measured x-ray spectrum with theory. The shape of the spectrum depends strongly on electron temperature (Te) in the range Te=800-1500 eV. Within the factor of 2 uncertainty in L-shell ionization cross sections, measured intensities agree with theory, which is based on coronal equilibrium, indicating that the ion lifetime in the center of the plasma is approximately equal to or greater than the equilibration time.

K. W. Hill; S. von Goeler; M. Bitter; L. Campbell; R. D. Cowan; B. Fraenkel; A. Greenberger; R. Horton; J. Hovey; W. Roney; N. R. Sauthoff; W. Stodiek

1979-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Experimentally validated models of refrigerant distribution in microchannel heat exchangers used to evaluate charge reduction of various working fluids.  

E-Print Network [OSTI]

??This thesis presents experimentally validated simulation models developed to obtain accurate prediction of microchannel heat exchanger performance and charge. Effects of using various correlations are… (more)

Padilla, Yadira

2012-01-01T23:59:59.000Z

122

Advanced Demand Responsive Lighting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

123

Demand Response Research in Spain  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Demand Response Research in Spain Demand Response Research in Spain Speaker(s): Iñigo Cobelo Date: August 22, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette The Spanish power system is becoming increasingly difficult to operate. The peak load grows every year, and the permission to build new transmission and distribution infrastructures is difficult to obtain. In this scenario Demand Response can play an important role, and become a resource that could help network operators. The present deployment of demand response measures is small, but this situation however may change in the short term. The two main Spanish utilities and the transmission network operator are designing research projects in this field. All customer segments are targeted, and the research will lead to pilot installations and tests.

124

Permanent polarization and charge distribution in organic light-emitting diodes (OLEDs): Insights from near-infrared charge-modulation spectroscopy of an operating OLED  

SciTech Connect (OSTI)

Vapor-deposited Alq{sub 3} layers typically possess a strong permanent electrical polarization, whereas NPB layers do not. (Alq{sub 3} is tris(8-quinolinolato)aluminum(III); NPB is 4,4?-bis[N-(1-naphthyl)-N-phenylamino]biphenyl.) The cause is a net orientation of the Alq{sub 3} molecules with their large dipole moments. Here we report on consequences for an organic light-emitting diode (OLED) with an NPB hole-transport layer and Alq{sub 3} electron-transport layer. The discontinuous polarization at the NPB|Alq{sub 3} interface has the same effect as a sheet of immobile negative charge there. It is more than compensated by a large concentration of injected holes (NPB{sup +}) when the OLED is running. We discuss the implications and consequences for the quantum efficiency and the drive voltage of this OLED and others. We also speculate on possible consequences of permanent polarization in organic photovoltaic devices. The concentration of NPB{sup +} was measured by charge-modulation spectroscopy (CMS) in the near infrared, where the NPB{sup +} has a strong absorption band, supplemented by differential-capacitance and current-voltage measurements. Unlike CMS in the visible, this method avoids complications from modulation of the electroluminescence and electroabsorption.

Marchetti, Alfred P.; Haskins, Terri L.; Young, Ralph H.; Rothberg, Lewis J. [Department of Chemistry, University of Rochester, Rochester, New York 14627 (United States)

2014-03-21T23:59:59.000Z

125

Smart Frequency-Sensing Charge Controller for Electric Vehicles...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

licensing:System uses frequency-sensing charge controllers that provide automatic demand response and regulation service to the grid by reducing or turning the charging load...

126

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

benefits of Demand Side Management (DSM) are insufficient toefficiency, demand side management (DSM) cost effectivenessResearch Center Demand Side Management Demand Side Resources

Heffner, Grayson

2010-01-01T23:59:59.000Z

127

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

128

Mass Market Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

129

Cocreating understanding and value in distributed work: how members of onsite and offshore vendor teams give, make, demand, and break sense  

Science Journals Connector (OSTI)

Achieving shared, common, or mutual understandings among geographically dispersed workers is a central concern in the distributed work literature. Nonetheless, little is known yet about the socio-cognitive acts and communication processes involved with ... Keywords: ISD, information systems development, offshore, sensebreaking, sensedemanding, sensegiving, sensemaking, social cognition, understanding, value creation

Paul W. L. Vlaar; Paul C. van Fenema; Vinay Tiwari

2008-06-01T23:59:59.000Z

130

Demand Response Assessment INTRODUCTION  

E-Print Network [OSTI]

Demand Response Assessment INTRODUCTION This appendix provides more detail on some of the topics raised in Chapter 4, "Demand Response" of the body of the Plan. These topics include 1. The features, advantages and disadvantages of the main options for stimulating demand response (price mechanisms

131

SRAD Distribution Detail for FY06 ( Indirect cost charged during period July 1, 2004 -June 30, 2005 )  

E-Print Network [OSTI]

PI Name Adjusted Indirect Cost Charged Exclusions PANAMA CITY CAMPUS College Code: 11 Panama City Campus.00%$58.59 $0.00 Totals: $31,495.17 100.00%Panama City Campus $31,495.17 $0.00 Totals: $31,495.17PANAMA CITY

Weston, Ken

132

Influence of argon and oxygen on charge-state-resolved ion energy distributions of filtered aluminum arcs  

E-Print Network [OSTI]

energy distributions of filtered aluminum arcs Johanna Roséndistributions (IEDs) in filtered aluminum vacuum arc plasmasfor vacuum arc plasmas. Aluminum plasma, for example,

Rosen, Johanna; Anders, Andre; Mraz, Stanislav; Atiser, Adil; Schneider, Jochen M.

2006-01-01T23:59:59.000Z

133

Evaluating Electric Vehicle Charging Impacts and Customer Charging Behaviors: Experiences from Six Smart Grid Investment Grant Projects (December 2014)  

Broader source: Energy.gov [DOE]

This report provides the results of six SGIG projects to help individual utilities determine how long existing electric distribution infrastructure will remain sufficient to accommodate demand growth from electric vehicles, and when and what type of capacity upgrades or additions may be needed. The report also examines when consumers want to recharge vehicles, and to what extent pricing and incentives can encourage consumers to charge during off-peak periods.

134

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

135

SRAD Distribution Detail for FY05 ( Indirect cost charged during period July 1, 2003 -June 30, 2004 )  

E-Print Network [OSTI]

PI Name Adjusted Indirect Cost Charged Exclusions PANAMA CITY CAMPUS College Code 11 Panama City Campus ($1,845.74)Shaw, K. -6.75% -0.01%($1,845.74) $0.00 Totals: $27,358.31 100.00%Panama City Campus $27,358.31 $0.00 Totals: $27,358.31PANAMA CITY CAMPUS Department Total Percent of College Total: $27,358.31 100

Weston, Ken

136

Demand response enabling technology development  

E-Print Network [OSTI]

Demand Response Enabling Technology Development Phase IEfficiency and Demand Response Programs for 2005/2006,Application to Demand Response Energy Pricing” SenSys 2003,

2006-01-01T23:59:59.000Z

137

Demand Response Spinning Reserve Demonstration  

E-Print Network [OSTI]

F) Enhanced ACP Date RAA ACP Demand Response – SpinningReserve Demonstration Demand Response – Spinning Reservesupply spinning reserve. Demand Response – Spinning Reserve

2007-01-01T23:59:59.000Z

138

Cross-sector Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

139

Demand Response Programs for Oregon  

E-Print Network [OSTI]

Demand Response Programs for Oregon Utilities Public Utility Commission May 2003 Public Utility ....................................................................................................................... 1 Types of Demand Response Programs............................................................................ 3 Demand Response Programs in Oregon

140

Demand response enabling technology development  

E-Print Network [OSTI]

behavior in developing a demand response future. Phase_II_Demand Response Enabling Technology Development Phase IIYi Yuan The goal of the Demand Response Enabling Technology

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Automated Demand Response and Commissioning  

E-Print Network [OSTI]

Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities”

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

142

Centrality dependence of the pseudorapidity density distribution for charged particles in Pb-Pb collisions at $\\sqrt{s_{\\rm NN}}$ = 2.76 TeV  

E-Print Network [OSTI]

We present the first wide-range measurement of the charged-particle pseudorapidity density distribution, for different centralities (the 0-5%, 5-10%, 10-20%, and 20-30% most central events) in Pb-Pb collisions at $\\sqrt{s_{\\rm NN}} = 2.76$ TeV at the LHC. The measurement is performed using the full coverage of the ALICE detectors, $-5.0 assumptions. The rapidity density distribution is found to be significantly wider than the predictions of the Landau model. We assess the validity of longitudinal scaling by comparing to lower energy results from RHIC. Finally the mechanisms of the underlying particle production are discussed based on a comparison with various theoretical models.

ALICE Collaboration

2015-01-22T23:59:59.000Z

143

Effects of emission layer doping on the spatial distribution of charge and host recombination rate density in organic light emitting devices: A numerical study  

SciTech Connect (OSTI)

Based on drift-diffusion theory, a numerical model of the doping of a single energy level trap in the emission layer of an organic light emitting device (OLED) was developed, and the effects of doping of this single energy level trap on the distribution of the charge density, the recombination rate density, and the electric field in single- and double-layer OLEDs were studied numerically. The results show that by doping the n-type (p-type) emission layer with single energy electron (hole) traps, the distribution of the recombination rate density can be tuned and shifted, which is useful for improvement of the device performance by reduced electrode quenching or for realization of desirable special functions, e.g., emission spectrum tuning in multiple dye-doped white OLEDs.

Li, Yanli; Zhou, Maoqing; Zheng, Tingcai; Yao, Bo [Institute of Microelectronics, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000 (China); Peng, Yingquan, E-mail: yqpeng@lzu.edu.cn [Institute of Microelectronics, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000 (China); Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, Lanzhou University, Lanzhou 730000 (China)

2013-12-28T23:59:59.000Z

144

Demand Response In California  

Broader source: Energy.gov [DOE]

Presentation covers the demand response in California and is given at the FUPWG 2006 Fall meeting, held on November 1-2, 2006 in San Francisco, California.

145

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

146

Expert Panel: Forecast Future Demand for Medical Isotopes  

Broader source: Energy.gov (indexed) [DOE]

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

147

THE ROLE OFLOAD DEMAND ELASTICITY IN CONGESTION MANAGEMENTAND PRICING  

E-Print Network [OSTI]

THE ROLE OFLOAD DEMAND ELASTICITY IN CONGESTION MANAGEMENTAND PRICING EttoreBompard, Enrico that demand responsiveness can play in competitive electricity markets. Typically, the task of congestion and to determine transmission system usage charges. The actions of price responsive loads may be represented

Gross, George

148

Two Market Models for Demand Response in Power Networks  

E-Print Network [OSTI]

Two Market Models for Demand Response in Power Networks Lijun Chen, Na Li, Steven H. Low and John C-- In this paper, we consider two abstract market models for designing demand response to match power supply as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models

Low, Steven H.

149

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

150

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

151

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

152

RTP Customer Demand Response  

Science Journals Connector (OSTI)

This paper provides new evidence on customer demand response to hourly pricing from the largest and...real-time pricing...(RTP) program in the United States. RTP creates value by inducing load reductions at times...

Steven Braithwait; Michael O’Sheasy

2002-01-01T23:59:59.000Z

153

World Energy Demand  

Science Journals Connector (OSTI)

A reliable forecast of energy resources, energy consumption, and population in the future is a ... So, instead of absolute figures about future energy demand and sources worldwide, which would become...3.1 correl...

Giovanni Petrecca

2014-01-01T23:59:59.000Z

154

Transportation Demand This  

U.S. Energy Information Administration (EIA) Indexed Site

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

155

Transverse Momentum Distribution and Nuclear Modification Factor of Charged Particles in p+Pb Collisions at sNN=5.02??TeV  

Science Journals Connector (OSTI)

The transverse momentum (pT) distribution of primary charged particles is measured in minimum bias (non-single-diffractive) p+Pb collisions at sNN=5.02??TeV with the ALICE detector at the LHC. The pT spectra measured near central rapidity in the range 0.5

B. Abelev et al. (ALICE Collaboration)

2013-02-21T23:59:59.000Z

156

Income distribution trends and future food demand  

Science Journals Connector (OSTI)

...available for food consumption. While there is...between food and energy markets via biofuels...century studied food consumption of the Belgian working...in the market or home-produced. Two...over time. Food consumption can be disaggregated...is poor. Their average income is Y, while...

2010-01-01T23:59:59.000Z

157

Utility Grid EV charging  

E-Print Network [OSTI]

Main Utility Grid EV charging PCC Batteries DC Load EV charging Flywheel Interlinking converter PV or large distance interconnected grids, to energy efficient applications in distribution system, energy storage systems and local loads as a local grid, is gaining more interests due to its potential

Chaudhary, Sanjay

158

Impacts of high penetration level of fully electric vehicles charging loads on the thermal ageing of power transformers  

Science Journals Connector (OSTI)

Abstract This paper develops a methodology to determine the impacts of high penetration level of fully electric vehicles (FEVs) charging loads on the thermal ageing of power distribution transformers. The method proposed in this paper is stochastically formulated by modelling the transformer life consumption due to \\{FEVs\\} charging loads as a function of ambient temperature, start time of \\{FEVs\\} charging, initial state-of-charge and charging modes. \\{FEVs\\} loads are modelled using the results from an analytical solution that predicts a cluster of \\{FEVs\\} chargers. A UK generic LV distribution network model and real load demand data are used to simulate FEVs’ impacts on the thermal ageing of LV power distribution transformers. Results show that the ambient temperature, \\{FEVs\\} penetration level, and start time of charging are the main factors that affect the transformer life expectancy. It was concluded that the smart charging scenario generally shows the best outcome from the loss of life reduction perspective. Meanwhile, public charging which shifts a large percentage of charging load to commercial and industrial areas can significantly alleviate the residential transformer loading thus has little impact on the loss of life of transformers. The proposed method in this paper can be easily applied to the determination of the optimum charging time as a function of existing loads, and ambient temperature.

Kejun Qian; Chengke Zhou; Yue Yuan

2015-01-01T23:59:59.000Z

159

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

160

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

162

Anomaly-induced charges in nucleons  

E-Print Network [OSTI]

We show a novel charge structure of baryons in electromagnetic field due to the chiral anomaly. A key connection is to treat baryons as solitons of mesons. We use Skyrmions to calculate the charge distributions in a single nucleon and find an additional charge. We also perform calculations of charge distribution for classical multi-baryons with B=2, 3,...,8 and 17; they show amusing charge distributions.

Minoru Eto; Koji Hashimoto; Hideaki Iida; Takaaki Ishii; Yu Maezawa

2011-03-28T23:59:59.000Z

163

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

There is a great theoretical potential to save resources by managing our demand for energy. However, demand-side management (DSM) programs targeting behavioral patterns of...

Dr. Sylvia Breukers; Dr. Ruth Mourik…

2013-01-01T23:59:59.000Z

164

Demand Side Bidding. Final Report  

SciTech Connect (OSTI)

This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

Spahn, Andrew

2003-12-31T23:59:59.000Z

165

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

Heffner, Grayson

2010-01-01T23:59:59.000Z

166

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

167

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

168

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

169

Demand Response In California  

Broader source: Energy.gov (indexed) [DOE]

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

170

On Demand Guarantees in Iran.  

E-Print Network [OSTI]

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and… (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

171

Energy Demand Staff Scientist  

E-Print Network [OSTI]

Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused on End-Use Energy Efficiency ~ 40 Current Projects in China Collaborations with ~50 Institutions in China Researcher #12;Talk OutlineTalk Outline · Overview · China's energy use and CO2 emission trends · Energy

Eisen, Michael

172

Energy Demand Modeling  

Science Journals Connector (OSTI)

From the end of World War II until the early 1970s there was a strong and steady increase in the demand for energy. The abundant supplies of fossil and other ... an actual fall in the real price of energy of abou...

S. L. Schwartz

1980-01-01T23:59:59.000Z

173

Distribution Workshop | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

charging and electrolyzers Energy storage Building and industrial loads and demand response Smart grid sensing, automation, and microgrids Informed efforts in technology...

174

Demand Activated Manufacturing Architecture  

SciTech Connect (OSTI)

Honeywell Federal Manufacturing & Technologies (FM&T) engineers John Zimmerman and Tom Bender directed separate projects within this CRADA. This Project Accomplishments Summary contains their reports independently. Zimmerman: In 1998 Honeywell FM&T partnered with the Demand Activated Manufacturing Architecture (DAMA) Cooperative Business Management Program to pilot the Supply Chain Integration Planning Prototype (SCIP). At the time, FM&T was developing an enterprise-wide supply chain management prototype called the Integrated Programmatic Scheduling System (IPSS) to improve the DOE's Nuclear Weapons Complex (NWC) supply chain. In the CRADA partnership, FM&T provided the IPSS technical and business infrastructure as a test bed for SCIP technology, and this would provide FM&T the opportunity to evaluate SCIP as the central schedule engine and decision support tool for IPSS. FM&T agreed to do the bulk of the work for piloting SCIP. In support of that aim, DAMA needed specific DOE Defense Programs opportunities to prove the value of its supply chain architecture and tools. In this partnership, FM&T teamed with Sandia National Labs (SNL), Division 6534, the other DAMA partner and developer of SCIP. FM&T tested SCIP in 1998 and 1999. Testing ended in 1999 when DAMA CRADA funding for FM&T ceased. Before entering the partnership, FM&T discovered that the DAMA SCIP technology had an array of applications in strategic, tactical, and operational planning and scheduling. At the time, FM&T planned to improve its supply chain performance by modernizing the NWC-wide planning and scheduling business processes and tools. The modernization took the form of a distributed client-server planning and scheduling system (IPSS) for planners and schedulers to use throughout the NWC on desktops through an off-the-shelf WEB browser. The planning and scheduling process within the NWC then, and today, is a labor-intensive paper-based method that plans and schedules more than 8,000 shipped parts per month based on more than 50 manually-created document types. The fact that DAMA and FM&T desired to move from paper-based manual architectures to digitally based computer architectures gave further incentive for the partnership to grow. FM&T's greatest strength was its knowledge of NWC-wide scheduling and planning with its role as the NWC leader in manufacturing logistics. DAMA's asset was its new knowledge gained in the research and development of advanced architectures and tools for supply chain management in the textiles industry. These complimentary strengths allowed the two parties to provide both the context and the tools for the pilot. Bender: Honeywell FM&T participated in a four-site supply chain project, also referred to as an Inter-Enterprise Pipeline Evaluation. The MSAD project was selected because it involves four NWC sites: FM&T, Pantex, Los Alamos National Laboratory (LANL), and Lawrence Livermore National Laboratory (LLNL). FM&T had previously participated with Los Alamos National Laboratory in FY98 to model a two-site supply chain project, between FM&T and LANL. Evaluation of a Supply Chain Methodology is a subset of the DAMA project for the AMTEX consortium. LANL organization TSA-7, Enterprise Modeling and Simulation, has been involved in AMTEX and DAMA through development of process models and simulations for LANL, the NWC, and others. The FY 1998 and this FY 1999 projects directly involved collaboration between Honeywell and the Enterprise Modeling and Simulation (TSA-7) and Detonation Science and Technology (DX1) organizations at LANL.

Bender, T.R.; Zimmerman, J.J.

2001-02-07T23:59:59.000Z

175

Workplace Charging Challenge Partner: San Diego Gas & Electric...  

Broader source: Energy.gov (indexed) [DOE]

load management, influenced by local energy management systems andor utility Demand Response (DR) systems. Workplace charging The project reinforces SDG&E's commitment to the...

176

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Studies and Tools Speaker(s): Peng Xu Date: March 9, 2007 - 12:00pm Location: 90-3122 The idea of pre-cooling and demand limiting is to pre-cool buildings at night or in the morning during off-peak hours, storing cooling energy in the building thermal mass and thereby reducing cooling loads during the peak periods. Savings are achieved by reducing on-peak energy and demand charges. The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. Case studies in a number of office buildings in California has found that a simple demand limiting strategy reduced the chiller power by 20-100% (0.5-2.3W/ft2) during six

177

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

178

Unlocking the potential for efficiency and demand response through advanced  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Unlocking the potential for efficiency and demand response through advanced Unlocking the potential for efficiency and demand response through advanced metering Title Unlocking the potential for efficiency and demand response through advanced metering Publication Type Conference Paper LBNL Report Number LBNL-55673 Year of Publication 2004 Authors Levy, Roger, Karen Herter, and John Wilson Conference Name 2004 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 06/2004 Publisher ACEEE Conference Location Pacific Grove, CA Call Number California Energy Commission Keywords demand response, demand response and distributed energy resources center, demand response research center, energy efficiency demand response advanced metering, rate programs & tariffs Abstract Reliance on the standard cumulative kilowatt-hour meter substantially compromises energy efficiency and demand response programs. Without advanced metering, utilities cannot support time-differentiated rates or collect the detailed customer usage information necessary to (1) educate the customer to the economic value of efficiency and demand response options, or (2) distribute load management incentives proportional to customer contribution. These deficiencies prevent the customer feedback mechanisms that would otherwise encourage economically sound demand-side investments and behaviors. Thus, the inability to collect or properly price electricity usage handicaps the success of almost all efficiency and demand response options.

179

Residential Demand Module  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

for EIA (SENTECH Incorporated, 2010). Wind: The Cost and Performance of Distributed Wind Turbines, 2010-35 (ICF International, 2010). 33 U.S. Energy Information Administration |...

180

Distribution:  

Office of Legacy Management (LM)

JAN26 19% JAN26 19% Distribution: OR00 Attn: h.H.M.Roth DFMusser ITMM MMMann INS JCRyan FIw(2) Hsixele SRGustavson, Document rocm Formal file i+a@mmm bav@ ~@esiaw*cp Suppl. file 'Br & Div rf's s/health (lic.only) UNITED STATES ATOMIC ENERGY COMMISSION SPECIAL NUCLEAB MATERIAL LICENSE pursuant to the Atomic Energy Act of 1954 and Title 10, Code of Federal Regulations, Chapter 1, P&t 70, "Special Nuclear Material Reg)llatiqm," a license is hereby issued a$hortztng the licensee to rekeive and possess the special nuclear material designated below; to use such special nuclear mat&ial for the purpose(s) and at the place(s) designated below; and to transfer such material to per&s authorized to receive it in accordance with the regula,tions in said Part.

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey  

Science Journals Connector (OSTI)

A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally ... Keywords: Smart grid, energy efficiency, demand-side load management, demand response, load shifting

Yee Wei Law; Tansu Alpcan; Vincent C. S. Lee; Anthony Lo; Slaven Marusic; Marimuthu Palaniswami

2012-11-01T23:59:59.000Z

182

Demand Response | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

183

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

This chapter introduces the concept of energy demand using basic micro-economics and presents the three-stage decision making process of energy demand. It then provides a set of simple ... (such as price and inco...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

184

Demand Response: Load Management Programs  

E-Print Network [OSTI]

CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs... V. Residential Discussion Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off...

Simon, J.

2012-01-01T23:59:59.000Z

185

Marketing Demand-Side Management  

E-Print Network [OSTI]

they the only game in town, enjoying a captive market. Demand-side management (DSM) again surfaced as a method for increasing customer value and meeting these competitive challenges. In designing and implementing demand-side management (DSM) programs we... have learned a great deal about what it takes to market and sell DSM. This paper focuses on how to successfully market demand-side management. KEY STEPS TO MARKETING DEMAND-SIDE MANAGEMENT Management Commitment The first key element in marketing...

O'Neill, M. L.

1988-01-01T23:59:59.000Z

186

Price Responsive Demand in New York Wholesale Electricity Market using  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

187

Assessment of Demand Response Resource  

E-Print Network [OSTI]

Assessment of Demand Response Resource Potentials for PGE and Pacific Power Prepared for: Portland January 15, 2004 K:\\Projects\\2003-53 (PGE,PC) Assess Demand Response\\Report\\Revised Report_011504.doc #12;#12;quantec Assessment of Demand Response Resource Potentials for I-1 PGE and Pacific Power I. Introduction

188

ERCOT Demand Response Paul Wattles  

E-Print Network [OSTI]

ERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre;Definitions of Demand Response · `The short-term adjustment of energy use by consumers in response to price to market or reliability conditions.' (NAESB) #12;Definitions of Demand Response · The common threads

Mohsenian-Rad, Hamed

189

Pricing data center demand response  

Science Journals Connector (OSTI)

Demand response is crucial for the incorporation of renewable energy into the grid. In this paper, we focus on a particularly promising industry for demand response: data centers. We use simulations to show that, not only are data centers large loads, ... Keywords: data center, demand response, power network, prediction based pricing

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

190

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Title Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Publication Type Conference Paper LBNL Report Number LBNL-3636e Year of Publication 2010 Authors Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response and distributed energy resources center, demand response research center, demand shifting (pre-cooling), DRQAT Abstract This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30% using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

191

Smart Finite State Devices: A Modeling Framework for Demand Response Technologies  

E-Print Network [OSTI]

We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the following four types: (a) optional loads that can be shed, e.g. light dimming; (b) deferrable loads that can be delayed, e.g. dishwashers; (c) controllable loads with inertia, e.g. thermostatically-controlled loads, whose task is to maintain an auxiliary characteristic (temperature) within pre-defined margins; and (d) storage devices that can alternate between charging and generating. Our analysis of the devices seeks to find their optimal price-taking control strategy under a given stochastic model of the distribution market.

Turitsyn, Konstantin; Ananyev, Maxim; Chertkov, Michael

2011-01-01T23:59:59.000Z

192

DemandDirect | Open Energy Information  

Open Energy Info (EERE)

DemandDirect DemandDirect Jump to: navigation, search Name DemandDirect Place Woodbury, Connecticut Zip 6798 Sector Efficiency, Renewable Energy, Services Product DemandDirect provides demand response, energy efficiency, load management, and distributed generation services to end-use electricity customers in order to reduce electricity consumption, improve grid reliability, and promote renewable energy. Coordinates 44.440496°, -72.414991° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.440496,"lon":-72.414991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

193

Overview of Demand Response  

Broader source: Energy.gov (indexed) [DOE]

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

194

A new wholesale bidding mechanism for enhanced demand response in smart grids  

E-Print Network [OSTI]

Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as distributed generation, on-site storage and demand response. In the context of deregulated ...

Wang, Jiankang

195

Network Reconfiguration at the Distribution System with Distributed Generators  

Science Journals Connector (OSTI)

This article proposes a novel model for distribution network reconfiguration to meet current distribution system operating demands. In the model the connection of distributed generators to distribution system is ...

Gao Xiaozhi; Li Linchuan; Xue Hailong

2010-01-01T23:59:59.000Z

196

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

197

Charged Condensation  

E-Print Network [OSTI]

We consider Bose-Einstein condensation of massive electrically charged scalars in a uniform background of charged fermions. We focus on the case when the scalar condensate screens the background charge, while the net charge of the system resides on its boundary surface. A distinctive signature of this substance is that the photon acquires a Lorentz-violating mass in the bulk of the condensate. Due to this mass, the transverse and longitudinal gauge modes propagate with different group velocities. We give qualitative arguments that at high enough densities and low temperatures a charged system of electrons and helium-4 nuclei, if held together by laboratory devices or by force of gravity, can form such a substance. We briefly discuss possible manifestations of the charged condensate in compact astrophysical objects.

Gregory Gabadadze; Rachel A. Rosen

2007-08-24T23:59:59.000Z

198

Distribution System State Estimation  

Office of Scientific and Technical Information (OSTI)

these include reactive power management, outage management, loss reduction, demand response, adaptable over-current protection, condition-based maintenance, distributed...

199

Fast Methods for Bimolecular Charge Optimization  

E-Print Network [OSTI]

We report a Hessian-implicit optimization method to quickly solve the charge optimization problem over protein molecules: given a ligand and its complex with a receptor, determine the ligand charge distribution that minimizes ...

Bardhan, Jaydeep P.

200

Analysis of Residential Demand Response and Double-Auction Markets  

SciTech Connect (OSTI)

Demand response and dynamic pricing programs are expected to play increasing roles in the modern Smart Grid environment. While direct load control of end-use loads has existed for decades, price driven response programs are only beginning to be explored at the distribution level. These programs utilize a price signal as a means to control demand. Active markets allow customers to respond to fluctuations in wholesale electrical costs, but may not allow the utility to control demand. Transactive markets, utilizing distributed controllers and a centralized auction can be used to create an interactive system which can limit demand at key times on a distribution system, decreasing congestion. With the current proliferation of computing and communication resources, the ability now exists to create transactive demand response programs at the residential level. With the combination of automated bidding and response strategies coupled with education programs and customer response, emerging demand response programs have the ability to reduce utility demand and congestion in a more controlled manner. This paper will explore the effects of a residential double-auction market, utilizing transactive controllers, on the operation of an electric power distribution system.

Fuller, Jason C.; Schneider, Kevin P.; Chassin, David P.

2011-10-10T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Demand Response Programs, 6. edition  

SciTech Connect (OSTI)

The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

NONE

2007-10-15T23:59:59.000Z

202

A hybrid inventory management system respondingto regular demand and surge demand  

SciTech Connect (OSTI)

This paper proposes a hybrid policy for a stochastic inventory system facing regular demand and surge demand. The combination of two different demand patterns can be observed in many areas, such as healthcare inventory and humanitarian supply chain management. The surge demand has a lower arrival rate but higher demand volume per arrival. The solution approach proposed in this paper incorporates the level crossing method and mixed integer programming technique to optimize the hybrid inventory policy with both regular orders and emergency orders. The level crossing method is applied to obtain the equilibrium distributions of inventory levels under a given policy. The model is further transformed into a mixed integer program to identify an optimal hybrid policy. A sensitivity analysis is conducted to investigate the impact of parameters on the optimal inventory policy and minimum cost. Numerical results clearly show the benefit of using the proposed hybrid inventory model. The model and solution approach could help healthcare providers or humanitarian logistics providers in managing their emergency supplies in responding to surge demands.

Mohammad S. Roni; Mingzhou Jin; Sandra D. Eksioglu

2014-06-01T23:59:59.000Z

203

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

of control. Water heater demand response options are notcurrent water heater and air conditioning demand responsecustomer response Demand response water heater participation

Levy, Roger

2014-01-01T23:59:59.000Z

204

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

Goldman, Charles

2010-01-01T23:59:59.000Z

205

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

Like HECO actual utility demand response implementations canindustry-wide utility demand response applications tend toobjective. Figure 4. Demand Response Objectives 17  

Levy, Roger

2014-01-01T23:59:59.000Z

206

Installation and Commissioning Automated Demand Response Systems  

E-Print Network [OSTI]

their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

207

Barrier Immune Radio Communications for Demand Response  

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities,”Fully Automated Demand Response Tests in Large Facilities.for Automated Demand Response. Technical Document to

Rubinstein, Francis

2010-01-01T23:59:59.000Z

208

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

209

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

McParland, Charles

2010-01-01T23:59:59.000Z

210

Wireless Demand Response Controls for HVAC Systems  

E-Print Network [OSTI]

Strategies Linking Demand Response and Energy Efficiency,”Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

Federspiel, Clifford

2010-01-01T23:59:59.000Z

211

Strategies for Demand Response in Commercial Buildings  

E-Print Network [OSTI]

Fully Automated Demand Response Tests in Large Facilities”of Fully Automated Demand Response in Large Facilities”,was coordinated by the Demand Response Research Center and

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-01-01T23:59:59.000Z

212

Option Value of Electricity Demand Response  

E-Print Network [OSTI]

Table 1. “Economic” demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

213

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

3 2.1 Demand-Side Managementbuildings. The demand side management framework is discussedIssues 2.1 Demand-Side Management Framework Forecasting

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

214

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

of Energy demand-side management energy information systemdemand response. Demand-side management (DSM) program goalsa goal for demand-side management (DSM) coordination and

Goldman, Charles

2010-01-01T23:59:59.000Z

215

China's Coal: Demand, Constraints, and Externalities  

E-Print Network [OSTI]

raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

Aden, Nathaniel

2010-01-01T23:59:59.000Z

216

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

World: Renewable Energy and Demand Response Proliferation intogether the renewable energy and demand response communityimpacts of renewable energy and demand response integration

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

217

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

District Small Business Summer Solutions: Energy and DemandSummer Solutions: Energy and Demand Impacts Monthly Energy> B-2 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

218

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

219

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Following relatively small increases of 1.3 million barrels per day in 1999 and 0.9 million barrels per day in 2000, EIA is estimating world demand may grow by 1.6 million barrels per day in 2001. Of this increase, about 3/5 comes from non-OECD countries, while U.S. oil demand growth represents more than half of the growth projected in OECD countries. Demand in Asia grew steadily during most of the 1990s, with 1991-1997 average growth per year at just above 0.8 million barrels per day. However, in 1998, demand dropped by 0.3 million barrels per day as a result of the Asian economic crisis that year. Since 1998, annual growth in oil demand has rebounded, but has not yet reached the average growth seen during 1991-1997. In the Former Soviet Union, oil demand plummeted during most of the

220

Rates and technologies for mass-market demand response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Rates and technologies for mass-market demand response Rates and technologies for mass-market demand response Title Rates and technologies for mass-market demand response Publication Type Conference Paper LBNL Report Number LBNL-50626 Year of Publication 2002 Authors Herter, Karen, Roger Levy, John Wilson, and Arthur H. Rosenfeld Conference Name 2002 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response, demand response and distributed energy resources center, demand response research center, rate programs & tariffs Abstract Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory, system-operator controlled, contingency program, and (2) a voluntary, customer controlled, bill management program with rate-based incentives. Any demand response program based on this system could consist of either or both of these components. Ideally, these programs would be bundled, providing automatic load management through customer-programmed price response, plus up to 10 GW of emergency load shedding capability in California. Finally, we discuss options for and barriers to implementation of such a program in California.

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Pseudorapidity distributions of charged particles from Au+Au collisions at the maximum RHIC energy, root s(NN)=200 GeV  

E-Print Network [OSTI]

We present charged-particle multiplicities as a function of pseudorapidity and collision centrality for the Au-197+ Au-197 reaction at roots(NN)=200 GeV . For the 5% most central events we obtain dN(ch)/detaparallel to(eta=0) ...

Ito, H.; Norris, J.; Sanders, Stephen J.

2002-05-01T23:59:59.000Z

222

Measurement of the Muon Charge Asymmetry in Inclusive pp ? W + X Production at ?s = 7 TeV and an Improved Determination of Light Parton Distribution Functions  

E-Print Network [OSTI]

Measurements of the muon charge asymmetry in inclusive pp ? W + X production at ?s = 7??TeV are presented. The data sample corresponds to an integrated luminosity of 4.7??fb[superscript ?1] recorded with the CMS detector ...

Apyan, Aram

223

Harnessing the power of demand  

SciTech Connect (OSTI)

Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

2008-03-15T23:59:59.000Z

224

China, India demand cushions prices  

SciTech Connect (OSTI)

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

225

Honeywell Demonstrates Automated Demand Response Benefits for...  

Broader source: Energy.gov (indexed) [DOE]

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility,...

226

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

227

E-Print Network 3.0 - aggregate electricity demand Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Distribution and Plants 11 Nordic TSOs' Action Plans in enhancing and monitoring Demand Response Summary: in Norway (draft) Nordel (2003): Statistical analysis of price response...

228

An Approach to Demand Response for Alleviating Power System Stress Conditions due to Electric Vehicle Penetration.  

E-Print Network [OSTI]

??Along with the growth of electricity demand and the penetration of intermittent renewable energy sources, electric power distribution networks will face more and more stress… (more)

Shao, Shengnan

2011-01-01T23:59:59.000Z

229

Automated Demand Response and Commissioning  

SciTech Connect (OSTI)

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-04-01T23:59:59.000Z

230

Optimal production and rationing policies of a make-to-stock production system with batch demand and backordering  

Science Journals Connector (OSTI)

In this paper, we consider the stock rationing problem of a single-item make-to-stock production/inventory system with multiple demand classes. Demand arrives as a Poisson process with a randomly distributed batch size. It is assumed that the batch demand ... Keywords: Batch demand, Inventory, Markov decision process, Production, Rationing

Jianjun Xu; Shaoxiang Chen; Bing Lin; Rohit Bhatnagar

2010-05-01T23:59:59.000Z

231

Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks  

E-Print Network [OSTI]

Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks Nathan@me.berkeley.edu Abstract--This paper explores demand response techniques for managing mobile, distributed loads with on observed. Our first simulation study explores a classic demand response scenario in which a large number

Culler, David E.

232

Cautious Risk-Takers: Investor Preferences and Demand for Active Management  

E-Print Network [OSTI]

Cautious Risk-Takers: Investor Preferences and Demand for Active Management Valery Polkovnichenko and Demand for Active Management Abstract Actively managed mutual funds have distinct return distributions from the equally important side of investor demand. We take funds returns as given and use them

O'Toole, Alice J.

233

Report: Impacts of Demand-Side Resources on Electric Transmission Planning  

Broader source: Energy.gov [DOE]

Demand for new transmission can be driven by different factors, including connection of new generation, reliability, economics, environmental policy compliance and replacement of retiring infrastructure. This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission.

234

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

Hydrogen Demand and Resource Assessment Tool Hydrogen Demand and Resource Assessment Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Demand and Resource Assessment Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen, Transportation Topics: Technology characterizations Resource Type: Dataset, Software/modeling tools User Interface: Website Website: maps.nrel.gov/ Web Application Link: maps.nrel.gov/hydra Cost: Free Language: English References: http://maps.nrel.gov/hydra Logo: Hydrogen Demand and Resource Assessment Tool Use HyDRA to view, download, and analyze hydrogen data spatially and dynamically. HyDRA provides access to hydrogen demand, resource, infrastructure, cost, production, and distribution data. A user account is

235

DOE Hydrogen Analysis Repository: Hydrogen Demand and Infrastructure  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hydrogen Demand and Infrastructure Deployment Hydrogen Demand and Infrastructure Deployment Project Summary Full Title: Geographically-Based Hydrogen Demand and Infrastructure Deployment Scenario Analysis Project ID: 189 Principal Investigator: Margo Melendez Keywords: Hydrogen fueling; infrastructure; fuel cell vehicles (FCV) Purpose This analysis estimates the spatial distribution of hydrogen fueling stations necessary to support the 5 million fuel cell vehicle scenario, based on demographic demand patterns for hydrogen fuel cell vehicles and strategy of focusing development on specific regions of the U.S. that may have high hydrogen demand. Performer Principal Investigator: Margo Melendez Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd. Golden, CO 80401-3393 Telephone: 303-275-4479

236

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

237

Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance  

Science Journals Connector (OSTI)

Modeling the lead-time demand for the multiple slow-moving inventory items in the case when the available requests history is very short is a challenge for inventory management. The classical forecasting technique, which is based on the aggregation of the stock keeping units to overcome the mentioned historical data peculiarity, is known to lead to very poor performance in many cases important for industrial applications. An alternative approach to the demand forecasting for the considered problem is based on the Bayesian paradigm, when the initially developed population-averaged demand probability distribution is modified for each item using its specific requests history. This paper follows this approach and presents a new model, which relies on the beta distribution as a prior for the request probability, and allows to account for disparity in variance of demand between different stock keeping units. To estimate the model parameters, a special computationally effective technique based on the generalized method of moments is developed. Simulation results indicate the superiority of the proposed model over the known ones, while the computational burden does not increase.

Alexandre Dolgui; Maksim Pashkevich

2008-01-01T23:59:59.000Z

238

A Look Ahead at Demand Response in New England  

SciTech Connect (OSTI)

The paper describes the demand response programs developed and in operation in New England, and the revised designs for participation in the forward capacity market. This description will include how energy efficiency, demand-side resources, and distributed generation are eligible to participate in this new forward capacity market. The paper will also discuss various methods that can be used to configure and communicate with demand response resources and important concerns in specifying interfaces that accommodate multiple technologies and allow technology choice and evolution.

Burke, Robert B.; Henderson, Michael I.; Widergren, Steven E.

2008-08-01T23:59:59.000Z

239

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

240

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Full Rank Rational Demand Systems  

E-Print Network [OSTI]

as a nominal income full rank QES. R EFERENCES (A.84)S. G. Donald. “Inferring the Rank of a Matrix. ” Journal of97-102. . “A Demand System Rank Theorem. ” Econometrica 57 (

LaFrance, Jeffrey T; Pope, Rulon D.

2006-01-01T23:59:59.000Z

242

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

243

Demand Response and Energy Efficiency  

E-Print Network [OSTI]

Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5..., 2009 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

244

Demand Response Spinning Reserve Demonstration  

SciTech Connect (OSTI)

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01T23:59:59.000Z

245

A marketplace game with neither distribution costs nor distribution-capacity constraints  

E-Print Network [OSTI]

neither distribution costs nor distribution-capacity constraints. II. THE CLEARING PRICE FOR LINEAR DEMAND-RESPONSE-sensitive demand. In turn, based on this demand response, the suppliers determine their optimal prices). We model aggregate consumer demand to be linear in response to clearing price1, D() = Dmax(1-/max

Squicciarini, Anna Cinzia

246

Transition metal atoms pathways on rutile TiO{sub 2} (110) surface: Distribution of Ti{sup 3+} states and evidence of enhanced peripheral charge accumulation  

SciTech Connect (OSTI)

Charge transfer between metal nanoparticles and the supported TiO{sub 2} surface is primarily important for catalytic applications as it greatly affects the catalytic activity and the thermal stability of the deposited nanoparticles on the surface. Herein, systematic spin-polarized density functional and HSE06 calculations are performed to evaluate the adsorption, diffusion, and charge state of several transition metal monomers on both stoichiometric and reduced rutile TiO{sub 2} (110) surface. Although the presence of oxygen vacancy (O{sub v}) increases the binding of Au, Pt and Pd on the surface, it weakens the interaction thus enhancing the diffusion for Fe, Co, Ni, Ag, and Cu adatoms on the surface. For pristine reduced surface, only a small portion (around 5%) of the excess electrons occupy the topmost surface, which are mainly delocalized at the second nearest and third nearest fivefold coordinated Ti (Ti{sub 5c}) atoms. Excess electrons populating at the Ti{sub 5c} atoms on the basal plane can be transferred to strongly electronegative adsorbates like Au and Pt thus enabling a moderate adsorption at this site, whereas no stable adsorption is found for other less electronegative transition metal adatoms (Ag, Cu, Fe, Co, Ni, and Pd) on the reduced surface and for all the adatoms on stoichiometric surface. This result clarifies the origin of the experimental observation of the adsorption of O{sub 2} and CO molecules at Ti{sub 5c} sites in connection with charge transfer. In addition, the spatial redistribution of the excess electrons around the O{sub v} upon the adsorption of the monomers is thoroughly examined. Our finding of an accumulation of excess electrons at the Ti{sub 5c} sites around the monomers explains the critical role of the perimeter interface of the deposited nanoparticles in promoting the adsorption and activation of reactants observed in experiments.

Cai Yongqing; Bai Zhaoqiang; Chintalapati, Sandhya; Feng Yuanping [Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542 (Singapore); Zeng Qingfeng [School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072 (China)

2013-04-21T23:59:59.000Z

247

National Action Plan on Demand Response  

Broader source: Energy.gov (indexed) [DOE]

Action Plan on Demand National Action Plan on Demand Action Plan on Demand National Action Plan on Demand Response Response Federal Utilities Partnership Working Group Federal Utilities Partnership Working Group November 18, 2008 November 18, 2008 Daniel Gore Daniel Gore Office of Energy Market Regulation Office of Energy Market Regulation Federal Energy Regulatory Commission Federal Energy Regulatory Commission The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission Presentation Contents Presentation Contents Statutory Requirements Statutory Requirements National Assessment [Study] of Demand Response National Assessment [Study] of Demand Response National Action Plan on Demand Response National Action Plan on Demand Response General Discussion on Demand Response and Energy Outlook

248

Home Network Technologies and Automating Demand Response  

SciTech Connect (OSTI)

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

McParland, Charles

2009-12-01T23:59:59.000Z

249

Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services  

E-Print Network [OSTI]

A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

Kiliccote, Sila

2010-01-01T23:59:59.000Z

250

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network [OSTI]

Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

Mares, K.C.

2010-01-01T23:59:59.000Z

251

Sandia National Laboratories: Distribution Grid Integration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Distribution Grid Integration ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety,...

252

Low Temperature Air Distribution with Ice Storage System: A Case Study  

E-Print Network [OSTI]

weekdays). The second part of the incentive is a "time of day" rate structure that bases the demand charge in June, July, August, and September on the electrical demand registered during the "on peak" time (12:OO noon to 8:00 pm). This allows... will be paid back in approximately two and one-half years at the current utility rate structure. The payback was possible because of the cash incentive offered by T.U. . Electric for the off peak storage system. The low temperature air distribution...

Ash, A.

1990-01-01T23:59:59.000Z

253

Facilitating Renewable Integration by Demand Response  

Science Journals Connector (OSTI)

Demand response is seen as one of the resources ... expected to incentivize small consumers to participate in demand response. This chapter models the involvement of small consumers in demand response programs wi...

Juan M. Morales; Antonio J. Conejo…

2014-01-01T23:59:59.000Z

254

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

Joseph, Eto

2014-01-01T23:59:59.000Z

255

Demand response-enabled residential thermostat controls.  

E-Print Network [OSTI]

human dimension of demand response technology from a caseArens, E. , et al. 2008. Demand Response Enabling TechnologyArens, E. , et al. 2006. Demand Response Enabling Technology

Chen, Xue; Jang, Jaehwi; Auslander, David M.; Peffer, Therese; Arens, Edward A

2008-01-01T23:59:59.000Z

256

Value of Demand Response -Introduction Klaus Skytte  

E-Print Network [OSTI]

Value of Demand Response - Introduction Klaus Skytte Systems Analysis Department February 7, 2006 Energinet.dk, Ballerup #12;What is Demand Response? Demand response (DR) is the short-term response

257

World Energy Use — Trends in Demand  

Science Journals Connector (OSTI)

In order to provide adequate energy supplies in the future, trends in energy demand must be evaluated and projections of future demand developed. World energy use is far from static, and an understanding of the demand

Randy Hudson

1996-01-01T23:59:59.000Z

258

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

California Energy Demand Scenario Projections to 2050 RyanCEC (2003a) California energy demand 2003-2013 forecast.CEC (2005a) California energy demand 2006-2016: Staff energy

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

259

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

Power demand of private households shows daily fluctuations and ... (BEV) and heat pumps. This additional demand, especially when it remains unmanaged, will ... to an increase in fluctuations. To balance demand,

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

260

Workplace Charging Challenge Summit 2014: Session 2, Track B  

Broader source: Energy.gov [DOE]

“Managing increased charging demand”: In many parts of the country, employer partners have observed an "if you build it, they will come" phenomenon as an increasing number of their staff have...

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Workplace Charging Challenge Partner: El Camino Real Charter High School  

Broader source: Energy.gov [DOE]

El Camino Real Charter High School (ECRCHS) has installed 4 plug-in electric vehicle (PEV) chargers, with plans to expand if demand increases. The charging stations play an integral role in...

262

NERSC HPSS Charging  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

HPSS Charging NERSC uses Storage Resource Units (SRUs) to help manage HPSS storage. The goal is to provide a balanced computing environment with appropriate amounts of storage and adequate bandwidth to keep the compute engines fed with data. Performance and usage tracking allows NERSC to anticipate demand and maintain a responsive storage environment. Storage management also recognizes storage as a distinct resource in support of an increasing amount of data intensive computing. Storage management and the quota system are intended to encourage efficient usage by the user community. SRU Management SRUs are reported and managed through the NERSC Information Management (NIM) system. If a user is out of SRUs in all of their HPSS repositories that user will be restricted so that they can no longer write data to HPSS

263

Definition: Demand | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Definition Edit with form History Facebook icon Twitter icon » Definition: Demand Jump to: navigation, search Dictionary.png Demand The rate at which electric energy is delivered to or by a system or part of a system, generally expressed in kilowatts or megawatts, at a given instant or averaged over any designated interval of time., The rate at which energy is being used by the customer.[1] Related Terms energy, electricity generation References ↑ Glossary of Terms Used in Reliability Standards An i Like Like You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Demand&oldid=480555"

264

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

265

Turkey's energy demand and supply  

SciTech Connect (OSTI)

The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

Balat, M. [Sila Science, Trabzon (Turkey)

2009-07-01T23:59:59.000Z

266

International Oil Supplies and Demands  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1991-09-01T23:59:59.000Z

267

International Oil Supplies and Demands  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1992-04-01T23:59:59.000Z

268

Smart microgrid operational planning considering multiple demand response programs  

Science Journals Connector (OSTI)

Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also the optimal scheduling of MGs will result in reliable and economical operation of distribution system. In this paper an operational planning model of a MG which considers multiple demand response programs is proposed. In the proposed approach all types of loads can participate in demand response programs which will be considered in either energy or reserve scheduling. Also the renewable distributed generation uncertainty is covered by reserve provided by both Distributed Generations (DGs) and responsive loads. The novelty of this paper is the demand side participation in energy and reserve scheduling simultaneously. Furthermore the energy and reserve scheduling is proposed for day-ahead and real-time. The proposed model was tested on a typical MG system and the results show that running demand response programs will reduce total operation cost of MG and cause more efficient use of resources.

Alireza Zakariazadeh; Shahram Jadid

2014-01-01T23:59:59.000Z

269

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

for Demand Response Technology Development The objective ofin planning demand response technology RD&D by conductingNew and Emerging Technologies into the California Smart Grid

Joseph, Eto

2014-01-01T23:59:59.000Z

270

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

271

Demand Response - Policy | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's...

272

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and Demand Response A pilot program from NSTAR in Massachusetts,Massachusetts, aiming to test whether an intensive program of energy efficiency and demand response

Goldman, Charles

2010-01-01T23:59:59.000Z

273

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

274

Marketing & Driving Demand: Social Media Tools & Strategies ...  

Broader source: Energy.gov (indexed) [DOE]

Demand: Social Media Tools & Strategies - January 16, 2011 Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 January 16, 2011 Conference Call...

275

Marketing & Driving Demand Collaborative - Social Media Tools...  

Broader source: Energy.gov (indexed) [DOE]

Demand Collaborative - Social Media Tools & Strategies Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the BetterBuildings...

276

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

Vehicle Conventional and Alternative Fuel Response Simulatormodified to include alternative fuel demand scenarios (whichvehicle adoption and alternative fuel demand) later in the

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

277

Charge Depleting:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

0.5 seconds 0.5 seconds Acceleration 1/4 Mile Time: 18.6 seconds Maximum Speed: 83.2 MPH Acceleration 1 Mile Maximum Speed: 100.6 MPH Charge Sustaining: Acceleration 0-60 MPH Time: 10.6 seconds Acceleration 1/4 Mile Time: 18.6 seconds Maximum Speed: 82.8 MPH Acceleration 1 Mile Maximum Speed: 101.9 MPH Brake Test @ 60 MPH Distance Required: 145.1 ft UDDS Fuel Economy 6 HWFET Fuel Economy 6,10 Distance (miles) Fuel Economy (mpg) AC Energy Consumed (kWh) 7 Distance (miles) Fuel Economy (mpg) AC Energy Consumed (kWh) 7 10 118.5 2.85 10 53.0 1.80 20 116.8 5.49 20 56.6 3.37 40 116.0 10.50 40 58.0 6.38 60 90.7 11.34 60 55.3 9.48 80 76.6 11.34 80 51.4 11.11 100 68.0 11.34 100 47.2 11.13 200 50.9 11.34 200 38.7 11.13 Fuel Economy with A/C Off 1 Cold Start Charge Depleting 2 : Fuel Economy: 119.7 MPG AC kWh Consumed 7 : 0.282 kWh/mi Charge Depleting

278

Reducing Peak Demand to Defer Power Plant Construction in Oklahoma  

Broader source: Energy.gov (indexed) [DOE]

Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Located in the heart of "Tornado Alley," Oklahoma Gas & Electric Company's (OG&E) electric grid faces significant challenges from severe weather, hot summers, and about 2% annual load growth. To better control costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid technologies, tools, and techniques from 2010-2012. The objective is to engage customers in lowering peak demand using smart technologies in homes and businesses and to achieve greater efficiencies on the distribution system. The immediate goal: To defer two 165 MW power plants currently planned for

279

Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000  

Gasoline and Diesel Fuel Update (EIA)

Demand and Price Outlook for Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000 Tancred Lidderdale and Aileen Bohn (1) Contents * Summary * Introduction * Reformulated Gasoline Demand * Oxygenate Demand * Logistics o Interstate Movements and Storage o Local Distribution o Phase 2 RFG Logistics o Possible Opt-Ins to the RFG Program o State Low Sulfur, Low RVP Gasoline Initiatives o NAAQS o Tier 2 Gasoline * RFG Production Options o Toxic Air Pollutants (TAP) Reduction o Nitrogen Oxides (NOx) Reduction o Volatile Organic Compounds (VOC) Reduction o Summary of RFG Production Options * Costs of Reformulated Gasoline o Phase 1 RFG Price Premium o California Clean Gasoline Price Premium o Phase 2 RFG Price Premium o Reduced Fuel Economy

280

Multiobjective demand side management solutions for utilities with peak demand deficit  

Science Journals Connector (OSTI)

Abstract Demand side management (DSM) is a growing concept around the world, particularly in urban India, recently due to presence of time of day (TOD) tariffs for the large commercial and industrial customers. Residential customers are not exposed to TOD tariff structure so far in India. This encourages commercial and industrial customers to schedule their flexible loads as per TOD tariff to extract maximum benefit of it and helps utilities to reduce their peak load demand and reshape the load curve. For efficient DSM implementation, this paper presents a multiobjective DSM solutions based on integer genetic algorithm to benefit both utilities and consumers. The proposed algorithm provides new directions on effective implementation of DSM techniques for Indian utilities. Simulations were carried out on Indian practical distribution system with large commercial and industrial loads. The simulation results of the proposed algorithm shows that the presented DSM technique comprehends reasonable savings to both utility and consumers simultaneously, while reducing the system peak.

Nandkishor Kinhekar; Narayana Prasad Padhy; Hari Om Gupta

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Smart Buildings and Demand Response  

Science Journals Connector (OSTI)

Advances in communications and control technology the strengthening of the Internet and the growing appreciation of the urgency to reduce demand side energy use are motivating the development of improvements in both energy efficiency and demand response (DR) systems in buildings. This paper provides a framework linking continuous energy management and continuous communications for automated demand response (Auto?DR) in various times scales. We provide a set of concepts for monitoring and controls linked to standards and procedures such as Open Automation Demand Response Communication Standards (OpenADR). Basic building energy science and control issues in this approach begin with key building components systems end?uses and whole building energy performance metrics. The paper presents a framework about when energy is used levels of services by energy using systems granularity of control and speed of telemetry. DR when defined as a discrete event requires a different set of building service levels than daily operations. We provide examples of lessons from DR case studies and links to energy efficiency.

2011-01-01T23:59:59.000Z

282

Water demand management in Kuwait  

E-Print Network [OSTI]

Kuwait is an arid country located in the Middle East, with limited access to water resources. Yet water demand per capita is much higher than in other countries in the world, estimated to be around 450 L/capita/day. There ...

Milutinovic, Milan, M. Eng. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

283

Charge Depleting:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 seconds 3 seconds Acceleration 1/4 Mile Time: 20.3 seconds Maximum Speed: 74.3 MPH Acceleration 1 Mile Maximum Speed: 103.4 MPH Charge Sustaining: Acceleration 0-60 MPH Time: 13.4 seconds Acceleration 1/4 Mile Time: 20.4 seconds Maximum Speed: 74.8 MPH Acceleration 1 Mile Maximum Speed: 104.0 MPH Brake Test @ 60 MPH Distance Required: 153.0 ft UDDS Fuel Economy 6 HWFET Fuel Economy 6 Distance (miles)

284

Charge Depleting:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

0 seconds 0 seconds Acceleration 1/4 Mile Time: 20.1 seconds Maximum Speed: 75.7 MPH Acceleration 1 Mile Maximum Speed: 104.9 MPH Charge Sustaining: Acceleration 0-60 MPH Time: 12.8 seconds Acceleration 1/4 Mile Time: 20.0 seconds Maximum Speed: 75.7 MPH Acceleration 1 Mile Maximum Speed: 105.0 MPH Brake Test @ 60 MPH Distance Required: 126.8 ft UDDS Fuel Economy 6 HWFET Fuel Economy 6 Distance (miles)

285

The alchemy of demand response: turning demand into supply  

SciTech Connect (OSTI)

Paying customers to refrain from purchasing products they want seems to run counter to the normal operation of markets. Demand response should be interpreted not as a supply-side resource but as a secondary market that attempts to correct the misallocation of electricity among electric users caused by regulated average rate tariffs. In a world with costless metering, the DR solution results in inefficiency as measured by deadweight losses. (author)

Rochlin, Cliff

2009-11-15T23:59:59.000Z

286

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

price volatility or substation overloads Ancillary services041, such as preventing substation overloads and secondaryimport and distribution substation infrastructure prorated

Heffner, Grayson

2010-01-01T23:59:59.000Z

287

Assessment of Demand Response and Advanced Metering  

E-Print Network [OSTI]

#12;#12;2008 Assessment of Demand Response and Advanced Metering Staff Report Federal Energy metering penetration and potential peak load reduction from demand response have increased since 2006. Significant activity to promote demand response or to remove barriers to demand response occurred at the state

Tesfatsion, Leigh

288

INTEGRATION OF PV IN DEMAND RESPONSE  

E-Print Network [OSTI]

INTEGRATION OF PV IN DEMAND RESPONSE PROGRAMS Prepared by Richard Perez et al. NREL subcontract response programs. This is because PV generation acts as a catalyst to demand response, markedly enhancing by solid evidence from three utility case studies. BACKGROUND Demand Response: demand response (DR

Perez, Richard R.

289

Demand Side Management in Rangan Banerjee  

E-Print Network [OSTI]

Demand Side Management in Industry Rangan Banerjee Talk at Baroda in Birla Corporate Seminar August 31,2007 #12;Demand Side Management Indian utilities ­ energy shortage and peak power shortage. Supply for Options ­ Demand Side Management (DSM) & Load Management #12;DSM Concept Demand Side Management (DSM) - co

Banerjee, Rangan

290

Building Technologies Office: Integrated Predictive Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Integrated Predictive Integrated Predictive Demand Response Controller Research Project to someone by E-mail Share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Facebook Tweet about Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Twitter Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Google Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Delicious Rank Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Digg Find More places to share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on AddThis.com...

291

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network [OSTI]

Report 2009. Open Automated Demand Response Communicationsand Techniques for Demand Response. California Energyand S. Kiliccote. Estimating Demand Response Load Impacts:

Kiliccote, Sila

2010-01-01T23:59:59.000Z

292

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

Aggregator Programs. Demand Response Measurement andIncorporating Demand Response into Western Interconnection13 Demand Response Dispatch

Satchwell, Andrew

2014-01-01T23:59:59.000Z

293

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

and Techniques for Demand Response, report for theand Reliability Demand Response Programs: Final Report.Demand Response

McKane, Aimee T.

2009-01-01T23:59:59.000Z

294

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network [OSTI]

Interoperable Automated Demand Response Infrastructure,study of automated demand response in wastewater treatmentopportunities for demand response control strategies in

Thompson, Lisa

2008-01-01T23:59:59.000Z

295

A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools ; A demand responsive bidding mechanism with price elasticity matrix .  

E-Print Network [OSTI]

??In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage… (more)

Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

296

Global energy demand to 2060  

SciTech Connect (OSTI)

The projection of global energy demand to the year 2060 is of particular interest because of its relevance to the current greenhouse concerns. The long-term growth of global energy demand in the time scale of climatic change has received relatively little attention in the public discussion of national policy alternatives. The sociological, political, and economic issues have rarely been mentioned in this context. This study emphasizes that the two major driving forces are global population growth and economic growth (gross national product per capita), as would be expected. The modest annual increases assumed in this study result in a year 2060 annual energy use of >4 times the total global current use (year 1986) if present trends continue, and >2 times with extreme efficiency improvements in energy use. Even assuming a zero per capita growth for energy and economics, the population increase by the year 2060 results in a 1.5 times increase in total annual energy use.

Starr, C. (Electric Power Research Institute, Palo Alto, CA (USA))

1989-01-01T23:59:59.000Z

297

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

298

IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 2089 Scalable and Robust Demand Response With  

E-Print Network [OSTI]

Response With Mixed-Integer Constraints Seung-Jun Kim and Georgios B. Giannakis Abstract--A demand response--Lagrange relaxation, mixed-integer programs, parallel and distributed algorithms, real-time demand response, robust of piecewise linear convex . I. INTRODUCTION DEMAND response (DR) is a key component of the smart grid, which

Giannakis, Georgios

299

Deep Demand Response: The Case Study of the CITRIS Building at the University of California-Berkeley  

E-Print Network [OSTI]

Deep Demand Response: The Case Study of the CITRIS Building at the University of California quality. We have made progress towards achieving deep demand response of 30% reduction of peak loads modeling expertise), and UC Berkeley (related demand response research including distributed wireless

Culler, David E.

300

Ch 16 Electric Charge &Ch 16. Electric Charge & Electric Field  

E-Print Network [OSTI]

Ch 16 Electric Charge &Ch 16. Electric Charge & Electric Field Liu UCD Phy1B 2012 #12;I Basic ConceptsI. Basic Concepts Static electricity: charges at rest Electric charge Like charges repel Unlike charges attract Liu UCD Phy1B 2012 #12;Electric ChargeElectric Charge Electron charge: -eElectron charge

Yoo, S. J. Ben

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Definition: Peak Demand | Open Energy Information  

Open Energy Info (EERE)

Peak Demand Peak Demand Jump to: navigation, search Dictionary.png Peak Demand The highest hourly integrated Net Energy For Load within a Balancing Authority Area occurring within a given period (e.g., day, month, season, or year)., The highest instantaneous demand within the Balancing Authority Area.[1] View on Wikipedia Wikipedia Definition Peak demand is used to refer to a historically high point in the sales record of a particular product. In terms of energy use, peak demand describes a period of strong consumer demand. Related Terms Balancing Authority Area, energy, demand, balancing authority, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from

302

Demand Response Programs Oregon Public Utility Commission  

E-Print Network [OSTI]

Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

303

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

304

ConservationandDemand ManagementPlan  

E-Print Network [OSTI]

; Introduction Ontario Regulation 397/11 under the Green Energy Act 2009 requires public agencies and implement energy Conservation and Demand Management (CDM) plans starting in 2014. Requirementsofthe ConservationandDemand ManagementPlan 2014-2019 #12

Abolmaesumi, Purang

305

Energy Demand Analysis at a Disaggregated Level  

Science Journals Connector (OSTI)

The purpose of this chapter is to consider energy demand at the fuel level or at the ... . This chapter first presents the disaggregation of energy demand, discusses the information issues and introduces framewor...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

306

Seasonal temperature variations and energy demand  

Science Journals Connector (OSTI)

This paper presents an empirical study of the relationship between residential energy demand and temperature. Unlike previous studies in this ... different regions and to the contrasting effects on energy demand ...

Enrica De Cian; Elisa Lanzi; Roberto Roson

2013-02-01T23:59:59.000Z

307

Demand Response Spinning Reserve Demonstration  

E-Print Network [OSTI]

SCE provided SCADA load data for the targeted distribution10-second average load data from SCE’s SCADA system. Assecond observation of load data. For each observation during

2007-01-01T23:59:59.000Z

308

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

LBNL-62226 Demand Responsive Lighting: A Scoping Study F. Rubinstein, S. Kiliccote Energy Environmental Technologies Division January 2007 #12;LBNL-62226 Demand Responsive Lighting: A Scoping Study in this report was coordinated by the Demand Response Research Center and funded by the California Energy

309

Demand Response Resources in Pacific Northwest  

E-Print Network [OSTI]

Demand Response Resources in Pacific Northwest Chuck Goldman Lawrence Berkeley National Laboratory cagoldman@lbl.gov Pacific Northwest Demand Response Project Portland OR May 2, 2007 #12;Overview · Typology Annual Reports ­ Journal articles/Technical reports #12;Demand Response Resources · Incentive

310

Leveraging gamification in demand dispatch systems  

Science Journals Connector (OSTI)

Modern demand-side management techniques are an integral part of the envisioned smart grid paradigm. They require an active involvement of the consumer for an optimization of the grid's efficiency and a better utilization of renewable energy sources. ... Keywords: demand response, demand side management, direct load control, gamification, smart grid, sustainability

Benjamin Gnauk; Lars Dannecker; Martin Hahmann

2012-03-01T23:59:59.000Z

311

Demand Response and Ancillary Services September 2008  

E-Print Network [OSTI]

Demand Response and Ancillary Services September 2008 #12;© 2008 EnerNOC, Inc. All Rights Reserved programs The purpose of this presentation is to offer insight into the mechanics of demand response and industrial demand response resources across North America in both regulated and restructured markets As of 6

312

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network [OSTI]

THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response can help reduce the threat of planned rotational outages. Demand response is also widely regarded as having

313

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network [OSTI]

THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response (DR) can.S. and internationally and lay out ideas that could help move California forward. KEY WORDS demand response, peak

314

Modeling Energy Demand Aggregators for Residential Consumers  

E-Print Network [OSTI]

The current world-wide increase of energy demand cannot be matched by energy production and power grid updateModeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators

Paris-Sud XI, Université de

315

Response to changes in demand/supply  

E-Print Network [OSTI]

Response to changes in demand/supply through improved marketing 21.2 #12;#12;111 Impacts of changes log demand in 1995. The composites board mills operating in Korea took advantage of flexibility environment changes on the production mix, some economic indications, statistics of demand and supply of wood

316

Response to changes in demand/supply  

E-Print Network [OSTI]

Response to changes in demand/supply through improved marketing 21.2 http with the mill consuming 450 000 m3 , amounting to 30% of total plywood log demand in 1995. The composites board, statistics of demand and supply of wood, costs and competitiveness were analysed. The reactions

317

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

318

Estimating Hydrogen Demand Distribution Using Geographic Information Systems (GIS)  

E-Print Network [OSTI]

derived market penetration rates and population data. Thisthreshold, market penetration rate, buffer size, scenariosderived market penetration rates and population data. Under

Ni, Jason; Johnson, Nils; Ogden, Joan M; Yang, Christopher; Johnson, Joshua

2005-01-01T23:59:59.000Z

319

Cost Reduction Opportunities in Local Distribution Grids with Demand Response.  

E-Print Network [OSTI]

?? The development of future smart electricity grids is driven by efficiency and climate targets and economic benefit for producers, retailers and customers on the… (more)

Nissen, Gustaf

2010-01-01T23:59:59.000Z

320

Estimating Hydrogen Demand Distribution Using Geographic Information Systems (GIS)  

E-Print Network [OSTI]

in the application of GIS to the study of environmental13) Figure 13 Interaction between GIS and Optimization ofEngineer Joshua Johnson 2 , GIS Specialist Institute of

Ni, Jason; Johnson, Nils; Ogden, Joan M; Yang, Christopher; Johnson, Joshua

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

AVTA: PHEV Demand and Energy Cost Demonstration Report  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following report describes results from a demonstration with Tacoma Power on plug-in hybrid electric vehicle demand and energy cost, as informed by the AVTA's testing on plug-in electric vehicle charging equipment. This research was conducted by Idaho National Laboratory.

322

Smart Buildings Using Demand Response March 6, 2011  

E-Print Network [OSTI]

Smart Buildings Using Demand Response March 6, 2011 Sila Kiliccote Deputy, Demand Response Division Lawrence Berkeley National Laboratory Demand Response Research Center 1 #12;Presentation Outline Demand Response Research Center ­ DRRC Vision and Research Portfolio Introduction to Demand

Kammen, Daniel M.

323

Smart finite state devices: A modeling framework for demand response technologies  

E-Print Network [OSTI]

We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the ...

Turitsyn, Konstantin

324

Jet Charge at the LHC  

Science Journals Connector (OSTI)

Knowing the charge of the parton initiating a light-quark jet could be extremely useful both for testing aspects of the standard model and for characterizing potential beyond-the-standard-model signals. We show that despite the complications of hadronization and out-of-jet radiation such as pileup, a weighted sum of the charges of a jet’s constituents can be used at the LHC to distinguish among jets with different charges. Potential applications include measuring electroweak quantum numbers of hadronically decaying resonances or supersymmetric particles, as well as standard model tests, such as jet charge in dijet events or in hadronically decaying W bosons in tt¯ events. We develop a systematically improvable method to calculate moments of these charge distributions by combining multihadron fragmentation functions with perturbative jet functions and pertubative evolution equations. We show that the dependence on energy and jet size for the average and width of the jet charge can be calculated despite the large experimental uncertainty on fragmentation functions. These calculations can provide a validation tool for data independent of Monte Carlo fragmentation models.

David Krohn; Matthew D. Schwartz; Tongyan Lin; Wouter J. Waalewijn

2013-05-21T23:59:59.000Z

325

Energy demand and population changes  

SciTech Connect (OSTI)

Since World War II, US energy demand has grown more rapidly than population, so that per capita consumption of energy was about 60% higher in 1978 than in 1947. Population growth and the expansion of per capita real incomes have led to a greater use of energy. The aging of the US population is expected to increase per capita energy consumption, despite the increase in the proportion of persons over 65, who consume less energy than employed persons. The sharp decline in the population under 18 has led to an expansion in the relative proportion of population in the prime-labor-force age groups. Employed persons are heavy users of energy. The growth of the work force and GNP is largely attributable to the growing participation of females. Another important consequence of female employment is the growth in ownership of personal automobiles. A third factor pushing up labor-force growth is the steady influx of illegal aliens.

Allen, E.L.; Edmonds, J.A.

1980-12-01T23:59:59.000Z

326

The bonding, charge distribution, spin ordering, optical, and elastic properties of four MAX phases Cr{sub 2}AX (A?=?Al or Ge, X?=?C or N): From density functional theory study  

SciTech Connect (OSTI)

In this work, we assess a full spectrum of properties (chemical bonding, charge distribution, spin ordering, optical, and elastic properties) of Cr{sub 2}AC (A?=?Al, Ge) and their hypothetical nitride counterparts Cr{sub 2}AN (A?=?Al, Ge) based on density functional theory calculations. The calculated total energy values indicate that a variety of spin ordering of these four compounds depending on interlayer-interactions between M-A and M-X within the sublattice, which is supported by bonding analysis. MAX phase materials are discovered to possess exotic magnetic properties which indicates that these materials could serve as promising candidates for novel layered magnetic materials for various electronic and spintronic applications. Further analysis of optical properties for two polarization vectors of Cr{sub 2}AX shows that the reflectivity is high in the visible-ultraviolet region up to ?15?eV suggesting Cr{sub 2}AX as a promising candidate for use as a coating material. The elastic coefficients (C{sub ij}) and bulk mechanical properties [bulk modulus (K), shear modulus (G), Young's modulus (E), Poisson's ratio (?), and Pugh ratio (G/K)] of these four Cr{sub 2}AX compounds are also calculated and analyzed, which pave the way to predict or design new MAX phases that are less brittle or tougher by having a lower G/K value or higher ?.

Li, Neng, E-mail: lineng@umkc.edu [Center for Photovoltaics and Solar Energy, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055 (China); Department of Physics and Astronomy, University of Missouri-Kansas City, Kansas City, Missouri 64110 (United States); Mo, Yuxiang; Ching, Wai-Yim [Department of Physics and Astronomy, University of Missouri-Kansas City, Kansas City, Missouri 64110 (United States)

2013-11-14T23:59:59.000Z

327

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

In India, the electricity systems are chronically constrained by shortage of both capital and energy resources. These result in rationing and interruptions of supply with a severely disrupted electricity usage pattern. From this background, we try to analyse the demand patterns with and without resource constraints. Accordingly, it is necessary to model appropriately the dynamic nature of electricity demand, which cannot be captured by methods like annual load duration curves. Therefore, we use the concept - Representative Load Curves (RLCs) - to model the temporal and structural variations in demand. As a case study, the electricity system of the state of Karnataka in India is used. Four years demand data, two unconstrained and two constrained, are used and RLCs are developed using multiple discriminant analysis. It is found that these RLCs adequately model the variations in demand and bring out distinctions between unconstrained and constrained demand patterns. The demand analysis attempted here helped to study the differences in demand patterns with and without constraints, and the success of rationing measures in reducing demand levels as well as greatly disrupting the electricity usage patterns. Multifactor ANOVA analyses are performed to find out the statistical significance of the ability of logically obtained factors in explaining overall variations in demand. The results showed that the factors that are taken into consideration accounted for maximum variations in demand at very high significance levels.

P. Balachandra; V. Chandru; M.H. Bala Subrahmanya

2003-01-01T23:59:59.000Z

328

Measurement and Verification for Demand Response  

Broader source: Energy.gov (indexed) [DOE]

Measurement and Verification for Measurement and Verification for Demand Response Prepared for the National Forum on the National Action Plan on Demand Response: Measurement and Verification Working Group AUTHORS: Miriam L. Goldberg & G. Kennedy Agnew-DNV KEMA Energy and Sustainability National Forum of the National Action Plan on Demand Response Measurement and Verification for Demand Response was developed to fulfill part of the Implementation Proposal for The National Action Plan on Demand Response, a report to Congress jointly issued by the U.S. Department of Energy (DOE) and the Federal Energy Regulatory Commission (FERC) in June 2011. Part of that implementation proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given that demand response has matured, DOE and FERC decided that a "virtual" project

329

Workplace Charging Challenge  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Workplace Charging Challenge, committing to install charging for plug-in electric vehicles (PEVs) at their worksites. By taking on this Challenge, they are helping build our...

330

Workplace Charging Challenge  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

the New York Power Authority (NYPA) installed three employee charging stations at its White Plains, New York, facility, as part of its workplace charging pilot program. (Photo...

331

Consumer Acceptance and Public Policy Charging Infrastructure Group E Breakout Session  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Infrastructure Infrastructure Group E Charging Infrastructure Breakout Session #1 - Brainstorm Consumer Acceptance Barriers and Infrastructure Scenarios * Infrastructure Scenarios * Domicile & Workplace Charging: Being available were vehicles spend a lot of time (Level 1/2) * Gas Station model * Fast charging * Battery Swap * Flow Batteries: Electrolyte swap for long distance traveling * Dynamic Wireless Charging * Strategically placed and visible * Widespread and visible Charging Infrastructure (Group E) July 30, 2012 Breakout Session #2 - Refine Consumer Acceptance Concepts and Infrastructure Scenarios * DOE Actions for Fast Charging Scenario: * R&D on power transfer rates for batteries * Energy storage research to minimize grid impacts and demand charges

332

Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes  

E-Print Network [OSTI]

Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes. Developing novel schemes for demand response in smart electric gird is an increasingly active research area/SCADA for demand response in smart infrastructures face the following dilemma: On one hand, in order to increase

Sastry, S. Shankar

333

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier  

E-Print Network [OSTI]

that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controllingUS Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

334

Economic and sensitivity analyses of dynamic distributed generation dispatch to reduce building energy cost  

Science Journals Connector (OSTI)

Abstract The practicality of any particular distributed generation (DG) installation depends upon its ability to reduce overall energy costs. A parametric study summarizing DG performance capabilities is developed using an economic dispatch strategy that minimizes building energy costs. Various electric rate structures are considered and applied to simulate meeting various measured building demand dynamics for heat and power. A determination of whether investment in DG makes economic sense is developed using a real-time dynamic dispatch and control strategy to meet real building demand dynamics. Under the economic dispatch strategy, capacity factor is influenced by DG electrical efficiency, operations and maintenance cost, and fuel price. Under a declining block natural gas rate structure, a large local thermal demand improves DG economics. Increasing capacity for DG that produces low cost electricity increases savings, but installing further capacity beyond the average building electrical demand reduces savings. For DG that produces high cost electricity, reducing demand charges can produce savings. Heat recovery improves capacity factor and DG economics only if thermal and electrical demand is coincident and DG heat is utilized. Potential DG economic value can be improved or impaired depending upon how the utility electricity cost is determined.

Robert J. Flores; Brendan P. Shaffer; Jacob Brouwer

2014-01-01T23:59:59.000Z

335

Demand Side Management by controlling refrigerators and its effects on consumers  

Science Journals Connector (OSTI)

Demand Side Management in power grids has become more and more important in recent years. Continuously growing energy demand both increases the need for distributed generation from renewable energy sources and brings out the topic of Demand Side Management. One of the major application areas of Demand Side Management in smart grids is cooling systems. In this paper, Demand Side Management with control of a refrigerator and its economic effects on consumers are analyzed. With a refrigerator model based on real measurements, several cooling schedules are simulated and annual energy fees for different pricing methods in use in Turkey are calculated and discussed. The results revealed that, 37.9% of refrigerator’s demand in peak period can be shifted to other periods and annual electricity bills for customers can be reduced by 11.4%.

M. Alparslan Zehir; Mustafa Bagriyanik

2012-01-01T23:59:59.000Z

336

Charge Density Wave Compounds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Fisher Research Group Fisher Research Group Layered Chalcogenides 29 February 2008 Controlling the Wave by Brad Plummer, SLAC Communications Stanford University researchers working in part at SSRL have discovered a novel set of properties pertaining to a compound of materials called tritellurides. These compounds, composed of three atoms of tellurium and a single atom of one of the rare earth elements, demonstrate unique electronic properties that can be controlled by altering the temperature of the material. The tritellurides display phenomena known as charge density waves (CDW). In a normal conductive metal, electrons persist in a "sea" wherein they are evenly distributed and equally available, or conductive. A CDW occurs under certain circumstances and causes the electrons to clump together, lowering their availability, and thereby lowering the compound's conductivity. Tellurium, when crystallized into quasi-two-dimensional planes and combined with rare earth elements, produces a material with CDWs that can be manipulated and controlled.

337

Sandia National Laboratories: Distribution Grid Integration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Current switches have been inefficient and ... ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration,...

338

Measurement of the elliptic anisotropy of charged particles produced in PbPb collisions at ?sNN=2.76 TeV  

E-Print Network [OSTI]

The anisotropy of the azimuthal distributions of charged particles produced in [? over s[subscript NN

Bauer, Gerry P.

339

OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS  

E-Print Network [OSTI]

i OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS John R. Mc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v SECTION ONE - OUTDOOR RECREATION DEMAND . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Recreation Demand Methods

O'Laughlin, Jay

340

LEED Demand Response Credit: A Plan for Research towards Implementation  

E-Print Network [OSTI]

C. McParland, Open Automated Demand Response Communicationsand Open Automated Demand Response", Grid Interop Forum,Testing of Automated Demand Response for Integration of

Kiliccote, Sila

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

E-Print Network [OSTI]

and Open Automated Demand Response. In Grid Interop Forum.work was sponsored by the Demand Response Research Center (load-management.php. Demand Response Research Center (2009).

Goli, Sasank

2012-01-01T23:59:59.000Z

342

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

A. Barat, D. Watson. Demand Response Spinning ReserveOpen Automated Demand Response Communication Standards:Dynamic Controls for Demand Response in a New Commercial

Piette, Mary Ann

2009-01-01T23:59:59.000Z

343

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network [OSTI]

reliability signals for demand response GTA HTTPS HVAC IT kWand Commissioning Automated Demand Response Systems. ”and Techniques for Demand Response. California Energy

Kiliccote, Sila

2010-01-01T23:59:59.000Z

344

Open Automated Demand Response Communications Specification (Version 1.0)  

E-Print Network [OSTI]

and Techniques for Demand Response. May 2007. LBNL-59975.to facilitate automating  demand response actions at the Interoperable Automated Demand Response Infrastructure,

Piette, Mary Ann

2009-01-01T23:59:59.000Z

345

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network [OSTI]

of Fully Automated Demand  Response in Large Facilities.  Fully Automated Demand Response Tests in Large Facilities.  Open Automated  Demand Response Communication Standards: 

Dudley, June Han

2009-01-01T23:59:59.000Z

346

Scenarios for Consuming Standardized Automated Demand Response Signals  

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities.Fully Automated Demand Response Tests in Large Facilities.Interoperable Automated Demand Response Infrastructure.

Koch, Ed

2009-01-01T23:59:59.000Z

347

Demand Response in U.S. Electricity Markets: Empirical Evidence  

E-Print Network [OSTI]

Reliability Corporation. Demand response data task force:Energy. Benefits of demand response in electricity marketsAssessment of demand response & advanced metering, staff

Cappers, Peter

2009-01-01T23:59:59.000Z

348

Direct versus Facility Centric Load Control for Automated Demand Response  

E-Print Network [OSTI]

Interoperable Automated Demand Response Infrastructure.and Techniques for Demand Response. LBNL Report 59975. Mayand Communications for Demand Response and Energy Efficiency

Piette, Mary Ann

2010-01-01T23:59:59.000Z

349

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network [OSTI]

Goodin. 2009. “Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services. ” InOpen Automated Demand Response Demonstration Project. LBNL-

Ghatikar, Girish

2010-01-01T23:59:59.000Z

350

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network [OSTI]

advanced metering and demand response in electricityGoldman, and D. Kathan. “Demand response in U.S. electricity29] DOE. Benefits of demand response in electricity markets

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

351

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network [OSTI]

Robinson, Michael, 2008, "Demand Response in Midwest ISOPresentation at MISO Demand Response Working Group Meeting,Coordination of Retail Demand Response with Midwest ISO

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

352

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

13 Table 2. Demand Side Management Framework for IndustrialDR Strategies The demand-side management (DSM) frameworkpresented in Table 2. Demand Side Management Framework for

McKane, Aimee T.

2009-01-01T23:59:59.000Z

353

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

THE ROLE OF DEMAND RESPONSE IN DEFAULT SERVICE PRICING Galenfor providing much-needed demand response in electricitycompetitive retail markets, demand response often appears to

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

354

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

and coordinated by the Demand Response Research Center onThe Role of Demand Response in Default Service Pricing Galenfor providing much-needed demand response in electricity

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

355

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

description of six energy and demand management concepts.how quickly it can modify energy demand. This is not a newimprovements in both energy efficiency and demand response (

Piette, Mary Ann

2009-01-01T23:59:59.000Z

356

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

Institute, “Curbing Global Energy Demand Growth: The Energyup Assessment of Energy Demand in India Transportationa profound effect on energy demand. Policy analysts wishing

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

357

Definition: Demand Side Management | Open Energy Information  

Open Energy Info (EERE)

Side Management Side Management Jump to: navigation, search Dictionary.png Demand Side Management The term for all activities or programs undertaken by Load-Serving Entity or its customers to influence the amount or timing of electricity they use.[1] View on Wikipedia Wikipedia Definition Energy demand management, also known as demand side management (DSM), is the modification of consumer demand for energy through various methods such as financial incentives and education. Usually, the goal of demand side management is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times such as nighttime and weekends. Peak demand management does not necessarily decrease total energy consumption, but could be expected to reduce the need

358

Sewerage service charges  

E-Print Network [OSTI]

of Charges? 1945 Municipal Year Book. ? ? ? ? ? . . 30 III* Summary of Texas Cities Having Sewerage Charges and Bases Used for Such Charges, 1945................... ? ? ? ? 31 IV. Summary of Texas Cities Charging Flat Rates and Average Monthly Charges...-liquidating. An increased density of population tends to increase the pollution of the natural streams* The use of these streams by cities as a means of sewage disposal has been tolerated because the dilution has been great enough to prevent nuisances below the point...

Wright, Samuel Robert

2013-10-04T23:59:59.000Z

359

Transportation Demand Management (TDM) Encyclopedia | Open Energy  

Open Energy Info (EERE)

Transportation Demand Management (TDM) Encyclopedia Transportation Demand Management (TDM) Encyclopedia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Transportation Demand Management (TDM) Encyclopedia Agency/Company /Organization: Victoria Transport Policy Institute Sector: Energy Focus Area: Transportation Topics: Implementation Resource Type: Guide/manual Website: www.vtpi.org/tdm/tdm12.htm Cost: Free Language: English References: Victoria Transport Policy Institute[1] "The Online TDM Encyclopedia is the world's most comprehensive information resource concerning innovative transportation management strategies. It describes dozens of Transportation Demand Management (TDM) strategies and contains information on TDM planning, evaluation and implementation. It has thousands of hyperlinks that provide instant access

360

The Retail Planning Problem under Demand Uncertainty.  

E-Print Network [OSTI]

and Rajaram K. , (2000), “Accurate Retail Testing of FashionThe Retail Planning Problem Under Demand Uncertainty GeorgeAbstract We consider the Retail Planning Problem in which

Georgiadis, G.; Rajaram, K.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

17 6. Barriers to Retail23 ii Retail Demand Response in SPP List of Figures and6 Table 3. SPP Retail DR Survey

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

362

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

water heaters with embedded demand responsive controls can be designed to automatically provide day-ahead and real-time response

Goldman, Charles

2010-01-01T23:59:59.000Z

363

Demand Response (transactional control) - Energy Innovation Portal  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest National Laboratory Contact PNNL About...

364

Regulation Services with Demand Response - Energy Innovation...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regulation Services with Demand Response Pacific Northwest National Laboratory Contact PNNL About This Technology Using grid frequency information, researchers have created...

365

Topics in Residential Electric Demand Response.  

E-Print Network [OSTI]

??Demand response and dynamic pricing are touted as ways to empower consumers, save consumers money, and capitalize on the “smart grid” and expensive advanced meter… (more)

Horowitz, Shira R.

2012-01-01T23:59:59.000Z

366

Maximum-Demand Rectangular Location Problem  

E-Print Network [OSTI]

Oct 1, 2014 ... Demand and service can be defined in the most general sense. ... Industrial and Systems Engineering, Texas A&M University, September 2014.

Manish Bansal

2014-10-01T23:59:59.000Z

367

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

in the presence of renewable resources and on the amount ofprimarily from renewable resources, and to a limited extentintegration of renewable resources and deferrable demand. We

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

368

Basic Theory of Demand-Side Management  

Science Journals Connector (OSTI)

Demand-Side Management (DSM) is pivotal in Integrated Resource ... to realize sustainable development, and advanced energy management activity. A project can be implemented only...

Zhaoguang Hu; Xinyang Han; Quan Wen

2013-01-01T23:59:59.000Z

369

Demand response at the Naval Postgraduate School .  

E-Print Network [OSTI]

??The purpose of this MBA project is to assist the Naval Postgraduate School's Public Works department to assimilate into a Demand Response program that will… (more)

Stouffer, Dean

2008-01-01T23:59:59.000Z

370

Demand response exchange in a deregulated environment .  

E-Print Network [OSTI]

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

371

Demand response exchange in a deregulated environment.  

E-Print Network [OSTI]

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

372

Geographically Based Hydrogen Demand and Infrastructure Rollout...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Rollout Scenario Analysis Geographically Based Hydrogen Demand and Infrastructure Rollout Scenario Analysis Presentation by Margo Melendez at the 2010-2025 Scenario Analysis for...

373

Self-similar and charged spheres in the diffusion approximation  

E-Print Network [OSTI]

We study spherical, charged and self--similar distributions of matter in the diffusion approximation. We propose a simple, dynamic but physically meaningful solution. For such a solution we obtain a model in which the distribution becomes static and changes to dust. The collapse is halted with damped mass oscillations about the absolute value of the total charge.

Barreto, W

1999-01-01T23:59:59.000Z

374

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power.  

SciTech Connect (OSTI)

This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.

Wang, J.; Liu, C.; Ton, D.; Zhou, Y.; Kim, J.; Vyas, A. (Decision and Information Sciences); ( ES); (ED); (Kyungwon Univ.)

2011-07-01T23:59:59.000Z

375

EV Everywhere Grand Challenge - Charging Infrastructure Enabling Flexible EV Design  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Charging Infrastructure Charging Infrastructure Enabling Flexible EV Design July 30, 2012 Lee Slezak Technology Manager, Vehicle Systems Vehicle Technologies Program U.S. Department of Energy 1000 Independence Avenue Washington DC 20585 eere.energy.gov Outline * Purpose - Establish Vision for Achieving EV Everywhere * Enable Strong Demand for EVs * Supply of Vehicles and Infrastructure * Current Status of Infrastructure and Vehicles * Desired Workshop Outputs * Approach - Design Candidate Infrastructure Strategies for 2022 10/12/2012 2 eere.energy.gov Achieving EV Everywhere - Enable Strong Demand for EVs 10/12/2012 3 EV Everywhere Consumer Acceptance EV Everywhere Consumer Acceptance Electric Vehicles * Safe * Cost Competitive * Utility meets consumer needs * Range

376

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

377

Electricity Demand Evolution Driven by Storm Motivated Population Movement  

SciTech Connect (OSTI)

Managing the risks posed by climate change to energy production and delivery is a challenge for communities worldwide. Sea Level rise and increased frequency and intensity of natural disasters due to sea surface temperature rise force populations to move locations, resulting in changing patterns of demand for infrastructure services. Thus, Infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Combining climate predictions and agent based population movement models shows promise for exploring the universe of these future population distributions and changes in coastal infrastructure configurations. In this work, we created a prototype agent based population distribution model and developed a methodology to establish utility functions that provide insight about new infrastructure vulnerabilities that might result from these patterns. Combining climate and weather data, engineering algorithms and social theory, we use the new Department of Energy (DOE) Connected Infrastructure Dynamics Models (CIDM) to examine electricity demand response to increased temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. This work suggests that the importance of established evacuation routes that move large populations repeatedly through convergence points as an indicator may be under recognized.

Allen, Melissa R [ORNL; Fernandez, Steven J [ORNL; Fu, Joshua S [ORNL; Walker, Kimberly A [ORNL

2014-01-01T23:59:59.000Z

378

The Impact of Uncertain Physical Parameters on HVAC Demand Response  

SciTech Connect (OSTI)

HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units. These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.

Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai; Fuller, Jason C.

2014-03-01T23:59:59.000Z

379

Demand Response and Electric Grid Reliability  

E-Print Network [OSTI]

Demand Response and Electric Grid Reliability Paul Wattles Senior Analyst, Market Design & Development, ERCOT CATEE Conference, Galveston October 10, 2012 2 North American Bulk Power Grids CATEE Conference October 10, 2012 ? The ERCOT... adequacy ? ?Achieving more DR participation would . . . displace some generation investments, but would achieve the same level of reliability... ? ?Achieving this ideal requires widespread demand response and market structures that enable loads...

Wattles, P.

2012-01-01T23:59:59.000Z

380

DEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT  

E-Print Network [OSTI]

of the response of travelers to real-time pre- trip information. The demand simulator is an extension of dynamicDEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT Constantinos Antoniou, Moshe Ben-Akiva, Michel Bierlaire, and Rabi Mishalani Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract

Bierlaire, Michel

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

A Vision of Demand Response - 2016  

SciTech Connect (OSTI)

Envision a journey about 10 years into a future where demand response is actually integrated into the policies, standards, and operating practices of electric utilities. Here's a bottom-up view of how demand response actually works, as seen through the eyes of typical customers, system operators, utilities, and regulators. (author)

Levy, Roger

2006-10-15T23:59:59.000Z

382

SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK DRAFTSTAFFREPORT May ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B assessment of the capability of the physical electricity system to provide power to meet electricity demand

383

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

response DSM – Demand Side Management EE – energy efficiencywith the development of demand-side management (DSM)-related

Satchwell, Andrew

2014-01-01T23:59:59.000Z

384

A fast chiller power demand response control strategy for buildings connected to smart grid  

Science Journals Connector (OSTI)

Abstract With the increasing integration of renewable energies into electrical grids, power imbalance has become one of the most critical issues in grid operations. The end-users at power demand side can actually make use of their demand reduction potentials to contribute to the grid power balance. Conventional demand responses of end-users can provide considerable power demand reductions, but the demand responses are usually subject to significant delay and cannot fulfill the needs of grid real time operation. In this paper, a fast chiller power demand response control strategy for commercial buildings is therefore proposed which facilitates buildings to act as grid “operating reserves” by providing rapid demand responses to grid request within minutes. However, simply shutting down some essential operating chillers would result in disordered chilled water flow distribution and uneven indoor thermal comfort degradation. This strategy has therefore taken essential measures to solve such problems effectively. Simulation case studies are conducted to investigate the operation dynamics and energy performance of HVAC systems in the demand response events controlled by the strategy. Results show that fast and significant power demand reductions can be achieved without sacrificing the thermal comfort too much.

Xue Xue; Shengwei Wang; Chengchu Yan; Borui Cui

2015-01-01T23:59:59.000Z

385

Uranium 2009 resources, production and demand  

E-Print Network [OSTI]

With several countries currently building nuclear power plants and planning the construction of more to meet long-term increases in electricity demand, uranium resources, production and demand remain topics of notable interest. In response to the projected growth in demand for uranium and declining inventories, the uranium industry – the first critical link in the fuel supply chain for nuclear reactors – is boosting production and developing plans for further increases in the near future. Strong market conditions will, however, be necessary to trigger the investments required to meet projected demand. The "Red Book", jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency, is a recognised world reference on uranium. It is based on information compiled in 40 countries, including those that are major producers and consumers of uranium. This 23rd edition provides a comprehensive review of world uranium supply and demand as of 1 January 2009, as well as data on global ur...

Organisation for Economic Cooperation and Development. Paris

2010-01-01T23:59:59.000Z

386

Coordination of Energy Efficiency and Demand Response  

SciTech Connect (OSTI)

This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025. Improving energy efficiency in our homes, businesses, schools, governments, and industries - which consume more than 70 percent of the nation's natural gas and electricity - is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that 'the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW' by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

Goldman, Charles; Reid, Michael; Levy, Roger; Silverstein, Alison

2010-01-29T23:59:59.000Z

387

Strategies for Demand Response in Commercial Buildings  

SciTech Connect (OSTI)

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-06-20T23:59:59.000Z

388

How to find fees, taxes, and other charges built into rate in...  

Open Energy Info (EERE)

> Utility Rate Hi, I am looking to find the rate charges beyond demand, generation, and transmission that are worked into most utility bills. Is there a good resource for how to...

389

Demand-Side Management (DSM) Opportunities as Real-Options  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Demand-Side Management (DSM) Opportunities as Real-Options Demand-Side Management (DSM) Opportunities as Real-Options Speaker(s): Osman Sezgen Date: August 1, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare As some end-users of energy and aggregators are choosing to be exposed to real-time prices and energy price volatility, they are coming across new DSM opportunities that would not be feasible under typical utility rate structures. Effective evaluation of such opportunities requires a good understanding of the wholesale energy markets and the use of models based on recent financial techniques for option pricing. The speaker will give examples of such modeling approaches based on his experience in the retail-energy industry. Specific examples will include evaluation of distributed generation, load curtailment, dual-fuel cooling, and energy

390

Siting public electric vehicle charging stations in Beijing using big-data informed travel patterns of the taxi fleet  

Science Journals Connector (OSTI)

Abstract Charging infrastructure is critical to the development of electric vehicle (EV) system. While many countries have implemented great policy efforts to promote EVs, how to build charging infrastructure to maximize overall travel electrification given how people travel has not been well studied. Mismatch of demand and infrastructure can lead to under-utilized charging stations, wasting public resources. Estimating charging demand has been challenging due to lack of realistic vehicle travel data. Public charging is different from refueling from two aspects: required time and home-charging possibility. As a result, traditional approaches for refueling demand estimation (e.g. traffic flow and vehicle ownership density) do not necessarily represent public charging demand. This research uses large-scale trajectory data of 11,880 taxis in Beijing as a case study to evaluate how travel patterns mined from big-data can inform public charging infrastructure development. Although this study assumes charging stations to be dedicated to a fleet of PHEV taxis which may not fully represent the real-world situation, the methodological framework can be used to analyze private vehicle trajectory data as well to improve our understanding of charging demand for electrified private fleet. Our results show that (1) collective vehicle parking “hotspots” are good indicators for charging demand; (2) charging stations sited using travel patterns can improve electrification rate and reduce gasoline consumption; (3) with current grid mix, emissions of CO2, PM, SO2, and \\{NOx\\} will increase with taxi electrification; and (4) power demand for public taxi charging has peak load around noon, overlapping with Beijing’s summer peak power.

Hua Cai; Xiaoping Jia; Anthony S.F. Chiu; Xiaojun Hu; Ming Xu

2014-01-01T23:59:59.000Z

391

Encryption-on-Demand, [EOD-g8516] Page #-1 Encryption-On-Demand  

E-Print Network [OSTI]

Encryption-on-Demand, [EOD-g8516] Page #-1 Encryption-On-Demand: Practical and Theoretical be served by an 'encryption-on-demand' (EoD) service which will enable them to communicate securely with no prior preparations, and no after effects. We delineate a possible EoD service, and describe some of its

392

Performance of distributed multiscale simulations  

Science Journals Connector (OSTI)

...that these multiscale models are computationally intensive. Other examples of such demanding multiscale models are Earth system models [9,25-27], each taking a component-based approach with the possibility for distributed computing. These...

2014-01-01T23:59:59.000Z

393

The urban design of distributed energy resources  

E-Print Network [OSTI]

Distributed energy resources (DERs) are a considerable research focus for cities to reach emissions reduction goals and meet growing energy demand. DERs, consisting of local power plants and distribution infrastructure, ...

Sheehan, Travis (Travis P.)

2012-01-01T23:59:59.000Z

394

Coordination of Energy Efficiency and Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Coordination of Energy Efficiency and Demand Response Coordination of Energy Efficiency and Demand Response Title Coordination of Energy Efficiency and Demand Response Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Goldman, Charles A., Michael Reid, Roger Levy, and Alison Silverstein Pagination 74 Date Published 01/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025.1 Improving energy efficiency in our homes, businesses, schools, governments, and industries-which consume more than 70 percent of the nation's natural gas and electricity-is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that "the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW" by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

395

Evaluating Electric Vehicle Charging Impacts and Customer Charging...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electric Vehicle Charging Impacts and Customer Charging Behaviors: Experiences from Six Smart Grid Investment Grant Projects (December 2014) Evaluating Electric Vehicle Charging...

396

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

March 2013 Number of Charging Units Charging Electricity Charging Unit - Private Not Installed to Events Consumed By Region Residential Commercia Public Specified Date...

397

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

June 2013 Number of Charging Units Charging Electricity Charging Unit - Private Not Installed to Events Consumed By Region Residential Commercia Public Specified Date Performed...

398

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

December 2012 Number of Charging Units Charging Electricity Charging Unit - Private Not Installed to Events Consumed By Region Residential Commercia Public Specified Date...

399

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

Report Project Status to Date through: March 2012 Number of Charging Units Charging Electricity Charging Unit - Private Installed to Events Consumed By State Residential...

400

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

September 2012 Number of Charging Units Charging Electricity Charging Unit - Private Installed to Events Consumed By State Residential Commercial Public Not Specified Date...

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

ChargePoint America Vehicle Charging Infrastructure Summary Report  

Broader source: Energy.gov (indexed) [DOE]

June 2012 Number of Charging Units Charging Electricity Charging Unit - Private Installed to Events Consumed By State Residential Commercial Public Not Specified Date Performed...

402

Demand Response This is the first of the Council's power plans to treat demand response as a resource.1  

E-Print Network [OSTI]

Demand Response This is the first of the Council's power plans to treat demand response the resource and describes some of the potential advantages and problems of the development of demand response. WHAT IS DEMAND RESPONSE? Demand response is a change in customers' demand for electricity corresponding

403

Health Care Demand, Empirical Determinants of  

Science Journals Connector (OSTI)

Abstract Economic theory provides a powerful but incomplete guide to the empirical determinants of health care demand. This article seeks to provide guidance on the selection and interpretation of demand determinants in empirical models. The author begins by introducing some general rules of thumb derived from economic and statistical principles. A brief review of the recent empirical literature next describes the range of current practices. Finally, a representative example of health care demand is developed to illustrate the selection, use, and interpretation of empirical determinants.

S.H. Zuvekas

2014-01-01T23:59:59.000Z

404

Magnetic charge and the charge quantization condition  

Science Journals Connector (OSTI)

Two viewpoints concerning magnetic charge are distinguished: that of Dirac, which is unsymmetrical, and the symmetrical one, which embodies invariance under charge rotation. It is pointed out that the latter is not in conflict with the empirical asymmetry between electric and magnetic charge. The discussion is based on an action principle that uses field strengths and the vector potential A as independent variables; a second vector potential B is defined nonlocally in terms of the field strengths. This nonlocality is described by an arbitrary vector function f?(y), subject only to the restriction ??f?(y)=?(y) and the additional requirement of oddness, in the symmetrical formulation. The charge quantization conditions for a pair of idealized charges, a and b, are inferred by examining the dependence of the action W on the choice of the arbitrary mathematical function f, and requiring the uniqueness of exp [iW]. For the unsymmetrical viewpoint the half-integer condition of Dirac is obtained, eagb4?=12n, while the symmetrical formulation requires the integer condition (eagb-ebga)4?=n. The Dirac injunction, "a string must never pass through a charged particle," is criticized as unnecessarily restrictive, owing to its origin in a classical action context. As simplified by a restriction to small momentum transfers, permitting the neglect of form-factor and vacuum-polarization effects, the dynamics of a realistic system of two spin- ½ dyons is shown to involve the same interaction structure used in the idealized discussion.

Julian Schwinger

1975-11-15T23:59:59.000Z

405

NCEP_Demand_Response_Draft_111208.indd  

Broader source: Energy.gov (indexed) [DOE]

National Council on Electricity Policy: Electric Transmission Series for State Offi National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Prepared by the U.S. Demand Response Coordinating Committee for The National Council on Electricity Policy Fall 2008 i National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials The National Council on Electricity Policy is funded by the U.S. Department of Energy and the U.S. Environmental Protection Agency. The views and opinions expressed herein are strictly those of the

406

Solar in Demand | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Solar in Demand Solar in Demand Solar in Demand June 15, 2012 - 10:23am Addthis Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin Donovan's town home. | Credit: Dennis Schroeder. Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin Donovan's town home. | Credit: Dennis Schroeder. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What does this mean for me? A new study says U.S. developers are likely to install about 3,300 megawatts of solar panels in 2012 -- almost twice the amount installed last year. In case you missed it... This week, the Wall Street Journal published an article, "U.S. Solar-Panel Demand Expected to Double," highlighting the successes of

407

National Action Plan on Demand Response  

Broader source: Energy.gov (indexed) [DOE]

David Kathan, Ph.D David Kathan, Ph.D Federal Energy Regulatory Commission U.S. DOE Electricity Advisory Committee October 29, 2010 Demand Response as Power System Resources The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission 2 Demand Response * FERC (Order 719) defines demand response as: - A reduction in the consumption of electric energy by customers from their expected consumption in response to an increase in the price of electric energy or to in incentive payments designed to induce lower consumption of electric energy. * The National Action Plan on Demand Response released by FERC staff broadens this definition to include - Consumer actions that can change any part of the load profile of a utility or region, not just the period of peak usage

408

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

409

Demand Controlled Ventilation and Classroom Ventilation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 3 Authors Fisk, William J., Mark J. Mendell, Molly Davies, Ekaterina Eliseeva, David Faulkner, Tienzen Hong, and Douglas P. Sullivan Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords absence, building s, carbon dioxide, demand - controlled ventilation, energy, indoor air quality, schools, ventilation Abstract This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ï‚· The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs). ï‚· Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.

410

China End-Use Energy Demand Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

411

Integrated Predictive Demand Response Controller Research Project |  

Broader source: Energy.gov (indexed) [DOE]

Predictive Demand Response Predictive Demand Response Controller Research Project Integrated Predictive Demand Response Controller Research Project The U.S. Department of Energy (DOE) is currently conducting research into integrated predictive demand response (IPDR) controllers. The project team will attempt to design an IPDR controller so that it can be used in new or existing buildings or in collections of buildings. In the case of collections of buildings, they may be colocated on a single campus or remotely located as long as they are served by a single utility or independent service operator. Project Description This project seeks to perform the necessary applied research, development, and testing to provide a communications interface using industry standard open protocols and emerging National Institute of Standards and Technology

412

Software demonstration: Demand Response Quick Assessment Tool  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Software demonstration: Demand Response Quick Assessment Tool Software demonstration: Demand Response Quick Assessment Tool Speaker(s): Peng Xu Date: February 4, 2008 - 12:00pm Location: 90-3122 The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. The Demand Response Quick Assessment Tools developed at LBNL will be demonstrated. The tool is built on EnergyPlus simulation and is able to evaluate and compare different DR strategies, such as global temperature reset, chiller cycling, supply air temperature reset, etc. A separate EnergyPlus plotting tool will also be demonstrated during this seminar. Users can use the tool to test EnergyPlus models, conduct parametric analysis, or compare multiple EnergyPlus simulation

413

Power Consumption Analysis of Architecture on Demand  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): Recently proposed Architecture on Demand (AoD) node shows considerable flexibility benefits against traditional ROADMs. We study the power consumption of AoD...

Garrich, Miquel; Amaya, Norberto; Zervas, Georgios; Giaccone, Paolo; Simeonidou, Dimitra

414

Capitalize on Existing Assets with Demand Response  

E-Print Network [OSTI]

Industrial facilities universally struggle with escalating energy costs. EnerNOC will demonstrate how commercial, industrial, and institutional end-users can capitalize on their existing assets—at no cost and no risk. Demand response, the voluntary...

Collins, J.

2008-01-01T23:59:59.000Z

415

SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY  

Broader source: Energy.gov [DOE]

As a city that experiences seasonal spikes in energy demand and accompanying energy bills, San Antonio, Texas, wanted to help homeowners and businesses reduce their energy use and save on energy...

416

Global Energy: Supply, Demand, Consequences, Opportunities  

SciTech Connect (OSTI)

July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Arun Majumdar

2008-08-14T23:59:59.000Z

417

Volatile coal prices reflect supply, demand uncertainties  

SciTech Connect (OSTI)

Coal mine owners and investors say that supply and demand are now finally in balance. But coal consumers find that both spot tonnage and new contract coal come at a much higher price.

Ryan, M.

2004-12-15T23:59:59.000Z

418

Global Energy: Supply, Demand, Consequences, Opportunities  

ScienceCinema (OSTI)

July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Arun Majumdar

2010-01-08T23:59:59.000Z

419

Demand Controlled Ventilation and Classroom Ventilation  

E-Print Network [OSTI]

columns indicate the energy and cost savings for  demand class size.   (The energy costs  of classroom ventilation Total Increase in Energy Costs ($) Increased State Revenue

Fisk, William J.

2014-01-01T23:59:59.000Z

420

Transportation energy demand: Model development and use  

Science Journals Connector (OSTI)

This paper describes work undertaken and sponsored by the Energy Commission to improve transportation energy demand forecasting and policy analysis for California. Two ... , the paper discusses some of the import...

Chris Kavalec

1998-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Sources and Magnetic Charge  

Science Journals Connector (OSTI)

A beginning is made on a phenomenological reconstruction of the theory of magnetic charge. The concept is introduced by reference to a new kind of photon source. It is shown that photon exchange between different source types is relativistically invariant. The space-time generalization of this coupling involves an arbitrary vector. The only way to remove a corresponding arbitrariness of physical predictions is to recognize the localization of charge and impose a charge quantization condition. The consideration of particles that carry both kinds of charge loosens the charge restrictions. The great strength of magnetic attraction indicated by g24?=4(137) suggests that ordinary matter is a magnetically neutral composite of magnetically charged particles that carry fractional electric charge. There is a brief discussion of such a magnetic model of strongly interacting particles, which makes contact with empirical classification schemes. Additional remarks on notation, and on the general nature of the source description, are appended.

Julian Schwinger

1968-09-25T23:59:59.000Z

422

Free form hemispherical shaped charge  

DOE Patents [OSTI]

A hemispherical shaped charge has been modified such that one side of the hemisphere is spherical and the other is aspherical allowing a wall thickness variation in the liner. A further modification is to use an elongated hemispherical shape. The liner has a thick wall at its pole and a thin wall at the equator with a continually decreasing wall thickness from the pole to the equator. The ratio of the wall thickness from the pole to the equator varies depending on liner material and HE shape. Hemispherical shaped charges have previously been limited to spherical shapes with no variations in wall thicknesses. By redesign of the basic liner thicknesses, the jet properties of coherence, stability, and mass distribution have been significantly improved.

Haselman, Jr., Leonard C. (Livermore, CA)

1996-01-01T23:59:59.000Z

423

Free form hemispherical shaped charge  

DOE Patents [OSTI]

A hemispherical shaped charge has been modified such that one side of the hemisphere is spherical and the other is aspherical allowing a wall thickness variation in the liner. A further modification is to use an elongated hemispherical shape. The liner has a thick wall at its pole and a thin wall at the equator with a continually decreasing wall thickness from the pole to the equator. The ratio of the wall thickness from the pole to the equator varies depending on liner material and HE shape. Hemispherical shaped charges have previously been limited to spherical shapes with no variations in wall thicknesses. By redesign of the basic liner thicknesses, the jet properties of coherence, stability, and mass distribution have been significantly improved. 8 figs.

Haselman, L.C. Jr.

1996-06-04T23:59:59.000Z

424

Measuring the capacity impacts of demand response  

SciTech Connect (OSTI)

Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

Earle, Robert; Kahn, Edward P.; Macan, Edo

2009-07-15T23:59:59.000Z

425

Real-Time Demand Side Energy Management  

E-Print Network [OSTI]

Real-Time Demand Side Energy Management Annelize Victor Michael Brodkorb Sr. Business Consultant Business Development Manager Aspen Technology, Inc. Aspen Technology España, S.A. Houston, TX Barcelona, Spain ABSTRACT To remain... competitive, manufacturers must capture opportunities to increase bottom-line profitability. The goal of this paper is to present a new methodology for reducing energy costs – “Demand-Side Energy Management.” Learn how process manufacturers assess energy...

Victor, A.; Brodkorb, M.

2006-01-01T23:59:59.000Z

426

Electric Utility Demand-Side Evaluation Methodologies  

E-Print Network [OSTI]

"::. ELECTRIC UTILITY DEMAND-SIDE EVALUATION METHODOLOGIES* Nat Treadway Public Utility Commission of Texas Austin, Texas ABSTRACT The electric. util ity industry's demand-side management programs can be analyzed ?from various points... of view using a standard benefit-cost methodology. The methodology now in use by several. electric utilities and the Public Utility Commlsslon of Texas includes measures of efficiency and equity. The nonparticipant test as a measure of equity...

Treadway, N.

427

Aviation fuel demand development in China  

Science Journals Connector (OSTI)

Abstract This paper analyzes the core factors and the impact path of aviation fuel demand in China and conducts a structural decomposition analysis of the aviation fuel cost changes and increase of the main aviation enterprises’ business profits. Through the establishment of an integrated forecast model for China’s aviation fuel demand, this paper confirms that the significant rise in China’s aviation fuel demand because of increasing air services demand is more than offset by higher aviation fuel efficiency. There are few studies which use a predictive method to decompose, estimate and analyze future aviation fuel demand. Based on a structural decomposition with indirect prediction, aviation fuel demand is decomposed into efficiency and total amount (aviation fuel efficiency and air transport total turnover). The core influencing factors for these two indexes are selected using path analysis. Then, univariate and multivariate models (ETS/ARIMA model and Bayesian multivariate regression) are used to analyze and predict both aviation fuel efficiency and air transport total turnover. At last, by integrating results, future aviation fuel demand is forecast. The results show that the aviation fuel efficiency goes up by 0.8% as the passenger load factor increases 1%; the air transport total turnover goes up by 3.8% and 0.4% as the urbanization rate and the per capita GDP increase 1%, respectively. By the end of 2015, China’s aviation fuel demand will have increased to 28 million tonnes, and is expected to be 50 million tonnes by 2020. With this in mind, increases in the main aviation enterprises’ business profits must be achieved through the further promotion of air transport.

Jian Chai; Zhong-Yu Zhang; Shou-Yang Wang; Kin Keung Lai; John Liu

2014-01-01T23:59:59.000Z

428

Ethanol Demand in United States Gasoline Production  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

Hadder, G.R.

1998-11-24T23:59:59.000Z

429

Title of Document: LONGITUDINAL CONTROL OF INTENSE CHARGED PARTICLE BEAMS  

E-Print Network [OSTI]

ABSTRACT Title of Document: LONGITUDINAL CONTROL OF INTENSE CHARGED PARTICLE BEAMS Brian Louis, accelerator facilities are demanding beams with higher quality. Applications such as Free Electron Lasers energy spread throughout the accelerator. Fluctuations in beam energy or density at the low-energy side

Anlage, Steven

430

Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands  

Science Journals Connector (OSTI)

A synchronized and responsive flow of materials, information, funds, processes and services is the goal of supply chain planning. Demand planning, which is the very first step of supply chain planning, determines the effectiveness of manufacturing and logistic operations in the chain. Propagation and magnification of the uncertainty of demand signals through the supply chain, referred to as the bullwhip effect, is the major cause of ineffective operation plans. Therefore, a flexible and robust supply chain forecasting system is necessary for industrial planners to quickly respond to the volatile demand. Appropriate demand aggregation and statistical forecasting approaches are known to be effective in managing the demand variability. This paper uses the bivariate VAR(1) time series model as a study vehicle to investigate the effects of aggregating, forecasting and disaggregating two interrelated demands. Through theoretical development and systematic analysis, guidelines are provided to select proper demand planning approaches. A very important finding of this research is that disaggregation of a forecasted aggregated demand should be employed when the aggregated demand is very predictable through its positive autocorrelation. Moreover, the large positive correlation between demands can enhance the predictability and thus result in more accurate forecasts when statistical forecasting methods are used.

Argon Chen; Jakey Blue

2010-01-01T23:59:59.000Z

431

Electric Charge and Electric Field Electrostatics: Charge at rest  

E-Print Network [OSTI]

Chapter 16 Electric Charge and Electric Field #12;Electrostatics: Charge at rest Electric Charges of conservation of Electric Charge: The net amount of electric charge produced in any process is zero. Model, neutral). #12;· All protons and electrons have same magnitude of electric charge but their masses

Yu, Jaehoon

432

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect (OSTI)

Abstract— Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms— Centralized control, decentralized control, demand response, electrical water heater, smart grid

Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

2012-07-22T23:59:59.000Z

433

An Operational Model for Optimal NonDispatchable Demand Response  

E-Print Network [OSTI]

An Operational Model for Optimal NonDispatchable Demand Response for Continuous PowerintensiveFACTS, $ Demand Response Energy Storage HVDC Industrial Customer PEV Renewable Energy Source: U.S.-Canada Power: To balance supply and demand of a power system, one can manipulate both: supply and demand demand response

Grossmann, Ignacio E.

434

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

435

System Benefits Charge  

Broader source: Energy.gov [DOE]

New York's system benefits charge (SBC), established in 1996 by the New York Public Service Commission (PSC), supports energy efficiency, education and outreach, research and development, and low...

436

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network [OSTI]

LABORATORY Coordination of Retail Demand Response withXXXXX Coordination of Retail Demand Response with MidwestAC02-05CH11231. Coordination of Retail Demand Response with

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

437

Analysis of Open Automated Demand Response Deployments in California  

E-Print Network [OSTI]

LBNL-6560E Analysis of Open Automated Demand Response Deployments in California and Guidelines The work described in this report was coordinated by the Demand Response Research. #12; #12;Abstract This report reviews the Open Automated Demand Response

438

PIER: Demand Response Research Center Director, Mary Ann Piette  

E-Print Network [OSTI]

1 PIER: Demand Response Research Center Director, Mary Ann Piette Program Development and Outreach Response Research Plan #12;2 Demand Response Research Center Objective Scope Stakeholders Develop, prioritize, conduct and disseminate multi- institutional research to facilitate Demand Response. Technologies

439

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network [OSTI]

4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-01-01T23:59:59.000Z

440

Demand Response Enabling Technologies and Approaches for Industrial Facilities  

E-Print Network [OSTI]

, there are also huge opportunities for demand response in the industrial sector. This paper describes some of the demand response initiatives that are currently active in New York State, explaining applicability of industrial facilities. Next, we discuss demand...

Epstein, G.; D'Antonio, M.; Schmidt, C.; Seryak, J.; Smith, C.

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

LEED Demand Response Credit: A Plan for Research towards Implementation  

E-Print Network [OSTI]

DR’s growing role in demand-side management activities andhow DR fits with demand-side management activities, DRemissions rates The demand-side management (DSM) framework

Kiliccote, Sila

2014-01-01T23:59:59.000Z

442

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network [OSTI]

Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the4. Status of Demand Side Management in Midwest ISO 5.

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

443

A Survey on Privacy in Residential Demand Side Management Applications  

Science Journals Connector (OSTI)

Demand Side Management (DSM) is an auspicious concept for ... on privacy energy issues and potential solutions in Demand Response systems. For this we give an ... the BSI and indicate three technical types of Demand

Markus Karwe; Jens Strüker

2014-01-01T23:59:59.000Z

444

Demand-Side Management and Energy Efficiency Revisited  

E-Print Network [OSTI]

EPRI). 1984. ”Demand Side Management. Vol. 1:Overview of Key1993. ”Industrial Demand-Side Management Programs: What’sJ. Kulick. 2004. ”Demand side management and energy e?ciency

Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

2007-01-01T23:59:59.000Z

445

Commercial Fleet Demand for Alternative-Fuel Vehicles in California  

E-Print Network [OSTI]

Precursors of demand for alternative-fuel vehicles: resultsFLEET DEMAND FOR ALTERNATIVE-FUEL VEHICLES IN CALIFORNIA*Abstract—Fleet demand for alternative-fuel vehicles (‘AFVs’

Golob, Thomas F; Torous, Jane; Bradley, Mark; Brownstone, David; Crane, Soheila Soltani; Bunch, David S

1996-01-01T23:59:59.000Z

446

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

ED2, September. CEC (2005b) Energy demand forecast methodsCalifornia Baseline Energy Demands to 2050 for Advancedof a baseline scenario for energy demand in California for a

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

447

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network [OSTI]

Importance Total off- site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decrease

Stadler, Michael

2011-01-01T23:59:59.000Z

448

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network [OSTI]

iv Chapter 5: National energy demand and potential energyAs Figure 1-2 shows, HVAC energy demand is comparable to thefor reducing this high energy demand reaches beyond

Shehabi, Arman

2010-01-01T23:59:59.000Z

449

Spontaneous emission in a silicon charge qubit  

E-Print Network [OSTI]

The interaction between a qubit and its environment provides a channel for energy relaxation which has an energy-dependent timescale governed by the specific coupling mechanism. We measure the rate of inelastic decay in a Si MOS double quantum dot (DQD) charge qubit through sensing the charge state's response to non-adiabatic driving of its excited state population. The charge distribution is sensed remotely in the weak measurement regime. We extract emission rates down to kHz frequencies by measuring the variation of the non-equilibrium charge occupancy as a function of amplitude and dwell times between non-adiabatic pulses. Our measurement of the energy-dependent relaxation rate provides a fingerprint of the relaxation mechanism, indicating that relaxation rates for this Si MOS DQD are consistent with coupling to deformation acoustic phonons.

Khoi T. Nguyen; N. Tobias Jacobson; Michael P. Lilly; Nathaniel C. Bishop; Erik Nielsen; Joel R. Wendt; J. Dominguez; T. Pluym; Malcolm S. Carroll

2014-03-14T23:59:59.000Z

450

Robust statistical reconstruction for charged particle tomography  

DOE Patents [OSTI]

Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

2013-10-08T23:59:59.000Z

451

EIA - AEO2010 - Natural Gas Demand  

Gasoline and Diesel Fuel Update (EIA)

Gas Demand Gas Demand Annual Energy Outlook 2010 with Projections to 2035 Natural Gas Demand Figure 68. Regional growth in nonhydroelectric renewable electricity capacity including end-use capacity, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 69. Annual average lower 48 wellhead and Henry Hub spot market prices for natural gas, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 70. Ratio of low-sulfur light crude oil price to Henry Hub natural gas price on an energy equivalent basis, 1990-2035 Click to enlarge » Figure source and data excel logo Figure 71. Annual average lower 48 wellhead prices for natural gas in three technology cases, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 72. Annual average lower 48 wellhead prices for natural gas in three oil price cases, 1990-2035

452

Production Will Meet Demand Increase This Summer  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Production must meet increases in demand this year. Last year, increased imports met most of the summer demand increase, and increases in stock draws met almost all of the remainder. Production did not increase much. But this year, inventories will not be available, and increased imports seem unlikely. Thus, increases in production will be needed to meet increased demand. Imports availability is uncertain this summer. Imports in 1999 were high, and with Phase II RFG product requirements, maintaining this level could be challenging since not all refineries exporting to the U.S. will be able to meet the new gasoline specifications. Stocks will also contribute little supply this summer. Last year's high gasoline stocks allowed for a stock draw that was 58 MB/D higher than

453

EIA - Annual Energy Outlook 2008 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Annual Energy Outlook 2008 with Projections to 2030 Energy Demand Figure 40. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 41. Primary energy use by fuel, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Average Energy Use per Person Levels Off Through 2030 Because energy use for housing, services, and travel in the United States is closely linked to population levels, energy use per capita is relatively stable (Figure 40). In addition, the economy is becoming less dependent on energy in general. Energy intensity (energy use per 2000 dollar of GDP) declines by an average

454

International Oil Supplies and Demands. Volume 1  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1991-09-01T23:59:59.000Z

455

Energy demand simulation for East European countries  

Science Journals Connector (OSTI)

The analysis and created statistical models of energy consumption tendencies in the European Union (EU25), including new countries in transition, are presented. The EU15 market economy countries and countries in transition are classified into six clusters by relative indicators of Gross Domestic Product (GDP/P) and energy demand (W/P) per capita. The specified statistical models of energy intensity W/GDP non-linear stochastic tendencies have been discovered with respect to the clusters of classified countries. The new energy demand simulation models have been developed for the demand management in timeâ??territory hierarchy in various scenarios of short-term and long-term perspective on the basis of comparative analysis methodology. The non-linear statistical models were modified to GDP, W/P and electricity (E/P) final consumption long-term forecasts for new associated East European countries and, as an example, for the Baltic Countries, including Lithuania.

Jonas Algirdas Kugelevicius; Algirdas Kuprys; Jonas Kugelevicius

2007-01-01T23:59:59.000Z

456

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect (OSTI)

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Coughlin, Katie

2014-12-01T23:59:59.000Z

457

China's Coal: Demand, Constraints, and Externalities  

SciTech Connect (OSTI)

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01T23:59:59.000Z

458

International Oil Supplies and Demands. Volume 2  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1992-04-01T23:59:59.000Z

459

Demand Management Institute (DMI) | Open Energy Information  

Open Energy Info (EERE)

Demand Management Institute (DMI) Demand Management Institute (DMI) Jump to: navigation, search Name Demand Management Institute (DMI) Address 35 Walnut Street Place Wellesley, Massachusetts Zip 02481 Sector Buildings Product Provides analysis for buildings on reducing energy use Website http://www.dmiinc.com/ Coordinates 42.3256508°, -71.2530294° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3256508,"lon":-71.2530294,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

460

Uranium 2014 resources, production and demand  

E-Print Network [OSTI]

Published every other year, Uranium Resources, Production, and Demand, or the "Red Book" as it is commonly known, is jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency. It is the recognised world reference on uranium and is based on official information received from 43 countries. It presents the results of a thorough review of world uranium supplies and demand and provides a statistical profile of the world uranium industry in the areas of exploration, resource estimates, production and reactor-related requirements. It provides substantial new information from all major uranium production centres in Africa, Australia, Central Asia, Eastern Europe and North America. Long-term projections of nuclear generating capacity and reactor-related uranium requirements are provided as well as a discussion of long-term uranium supply and demand issues. This edition focuses on recent price and production increases that could signal major changes in the industry.

Organisation for Economic Cooperation and Development. Paris

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION  

SciTech Connect (OSTI)

This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ? The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).? Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.? Currently-available optical people counting systems work well much of the time but have large counting errors in some situations. ? In meeting rooms, measurements of carbon dioxide at return-air grilles appear to be a better choice than wall-mounted sensors.? In California, demand controlled ventilation in general office spaces is projected to save significant energy and be cost effective only if typical VRs without demand controlled ventilation are very high relative to VRs in codes. Based on the research, several recommendations were developed for demand controlled ventilation specifications in the California Title 24 Building Energy Efficiency Standards.The research on classroom ventilation collected data over two years on California elementary school classrooms to investigate associations between VRs and student illness absence (IA). Major findings included: ? Median classroom VRs in all studied climate zones were below the California guideline, and 40percent lower in portable than permanent buildings.? Overall, one additional L/s per person of VR was associated with 1.6percent less IA. ? Increasing average VRs in California K-12 classrooms from the current average to the required level is estimated to decrease IA by 3.4percent, increasing State attendance-based funding to school districts by $33M, with $6.2 M in increased energy costs. Further VR increases would provide additional benefits.? Confirming these findings in intervention studies is recommended. ? Energy costs of heating/cooling unoccupied classrooms statewide are modest, but a large portion occurs in relatively few classrooms.

Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

2014-01-06T23:59:59.000Z

462

Rice Supply, Demand and Related Government Programs.  

E-Print Network [OSTI]

, 1930-55 Year Weighted Year Weighted beginning average price beginning average price August per cwt. August per cwt. Dollars Dollars 'Includes an allowance for unredeemed loans. response to the strengthening of foreign demand, rice prices by 1952... 91 percent of the average parity price during 1935-54, with !he 4 years of World War I1 omitted. The elasticity of demand was assumed to be about -.2. The annually derived price based on the assumed elasticity and the percentage change in price...

Kincannon, John A.

1957-01-01T23:59:59.000Z

463

Demand Response Initiatives at CPS Energy  

E-Print Network [OSTI]

Demand Response Initiatives at CPS Energy Clean Air Through Energy Efficiency (CATEE) Conference December 17, 2013 ESL-KT-13-12-53 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 CPSE’s DR Program • DR... than the military bases and Toyota combined. • Schools & Universities contributed 6 MW’s of Demand Response in 2013. 2013 DR Participants Trinity University - $5,654 Fort Sam ISD - $18,860 Judson ISD - $45,540 Alamo Colleges - $98,222 UTSA - $168...

Luna, R.

2013-01-01T23:59:59.000Z

464

Charged elliptic flow at zero charge asymmetry  

Science Journals Connector (OSTI)

The difference between the flow ellipticities of oppositely charged pions ?v2?v2[??]?v2[?+], measured recently by the STAR Collaboration at the Brookhaven National Laboratory Relativistic Heavy Ion Collider (RHIC) shows a linear dependence on the event charge asymmetry A±?(N+?N?)/(N++N?):?v2(A±)=?v2(0)+rA± with a slope r>0 and a nonzero intercept ?v2(0)>0 on the order of 10?4. We discuss two novel mechanisms, which could explain the nonzero value of the charged elliptic flow ?v2 at zero charge asymmetry A±=0, i.e., the nonzero positive intercept ?v2(0). Both effects are due to the electric fields created by the colliding ions. These fields have quadrupole asymmetry of the magnitude and the sign needed to account for the nonzero intercept ?v2(0)>0 in the RHIC data. One of the mechanisms also involves the chiral magnetic effect. This mechanism, although negligible at RHIC energies, may become important at the CERN Large Hadron Collider energies.

Mikhail Stephanov and Ho-Ung Yee

2013-07-29T23:59:59.000Z

465

Demand Response and Smart Metering Policy Actions Since the Energy...  

Broader source: Energy.gov (indexed) [DOE]

Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Demand Response and Smart Metering Policy Actions Since the...

466

Overview of Demand Side Response | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

and Energy Officials Need to Know High Electric Demand Days: Clean Energy Strategies for Improving Air Quality Demand Response in U.S. Electricity Markets: Empirical Evidence...

467

Robust Unit Commitment Problem with Demand Response and ...  

E-Print Network [OSTI]

Oct 29, 2010 ... sion, both Demand Response (DR) strategy and intermittent renewable ... Key Words: unit commitment, demand response, wind energy, robust ...

2010-10-31T23:59:59.000Z

468

National Action Plan on Demand Response | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

National Action Plan on Demand Response National Action Plan on Demand Response Presentation-given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008...

469

ASSESSMENT OF VARIABLE EFFECTS OF SYSTEMS WITH DEMAND RESPONSE RESOURCES  

E-Print Network [OSTI]

ASSESSMENT OF VARIABLE EFFECTS OF SYSTEMS WITH DEMAND RESPONSE RESOURCES BY ANUPAMA SUNIL KOWLI B of consumers - called demand response resources (DRRs) - whose role has become increasingly important

Gross, George

470

The business value of demand response for balance responsible parties.  

E-Print Network [OSTI]

?? By using IT-solutions, the flexibility on the demand side in the electrical systems could be increased. This is called demand response and is part… (more)

Jonsson, Mattias

2014-01-01T23:59:59.000Z

471

Aggregator-Assisted Residential Participation in Demand Response Program.  

E-Print Network [OSTI]

??The demand for electricity of a particular location can vary significantly based on season, ambient temperature, time of the day etc. High demand can result… (more)

Hasan, Mehedi

2012-01-01T23:59:59.000Z

472

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

energy storage and demand management can complement solarwith energy storage to firm the resource, or solar thermaland solar generation. And demand response or energy storage

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

473

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network [OSTI]

............................................................................................... 2 Demand-Side Efficiency Technologies I. Energy Management Systems (EMSsLBL-33887 UC-000 BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES Jonathan G. Koomey

474

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

??While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in… (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

475

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

?? While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role… (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

476

Response to several FOIA requests - Renewable Energy. Demand...  

Energy Savers [EERE]

Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. nepdg251500.pdf....

477

Draft Chapter 3: Demand-Side Resources | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

3: Demand-Side Resources Draft Chapter 3: Demand-Side Resources Utilities in many states have been implementing energy efficiency and load management programs (collectively called...

478

Chapter 3: Demand-Side Resources | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

: Demand-Side Resources Chapter 3: Demand-Side Resources Utilities in many states have been implementing energy efficiency and load management programs (collectively called...

479

Tool Improves Electricity Demand Predictions to Make More Room...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Tool Improves Electricity Demand Predictions to Make More Room for Renewables Tool Improves Electricity Demand Predictions to Make More Room for Renewables October 3, 2011 -...

480

Image Charge Differential  

E-Print Network [OSTI]

Image Charge Differential Amplifier FT 0 Crude Oil Time (s) 543210 Frequency (kHz) m/z m q B f Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) uses the frequency of cyclotron motion of the ions in a static magnetic field to determine the mass-to-charge ratio, which is then used

Weston, Ken

Note: This page contains sample records for the topic "distribution demand charge" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Pulse charging device  

SciTech Connect (OSTI)

This paper describes a device for pulse charging of capacitor storage devices of high-power nanosecond generators. The charging voltage reaches 30 kV, the charged capacitance is 2-100 nF, the charging time is 5-10 usec, the pulse frequency reaches 10 kHz, and the average power of the device is 15 kW. The device uses two-section oscillatory charging of the capacitors from a dc supply through high-speed thyristors and a pulse transformer. The described device is intended for use as part of a test bench for high-power nanosecond pulse generators for pumping gas lasers and their components.

Butakov, L.D.; Dubich, V.K.; Lashuk, N.A.; Shubkin, N.G.; Vizir', V.A.

1986-03-01T23:59:59.000Z

482

SHORT-RUN MONEY DEMAND Laurence Ball  

E-Print Network [OSTI]

SHORT-RUN MONEY DEMAND Laurence Ball Johns Hopkins University August 2002 I am grateful with Goldfeld's partial adjustment model. A key innovation is the choice of the interest rate in the money on "near monies" -- close substitutes for M1 such as savings accounts and money market mutual funds

Niebur, Ernst

483

Indianapolis Offers a Lesson on Driving Demand  

Broader source: Energy.gov [DOE]

Successful program managers know that understanding the factors that drive homeowners to make upgrades is critical to the widespread adoption of energy efficiency. What better place to learn about driving demand for upgrades than in Indianapolis, America's most famous driving city?

484

Senior Center Network Redesign Under Demand Uncertainty  

E-Print Network [OSTI]

Senior Center Network Redesign Under Demand Uncertainty Osman Y. ¨Ozaltin Department of Industrial of Massachusetts Boston, Boston, MA 02125-3393, USA, michael.johnson@umb.edu Andrew J. Schaefer Department. In response, we propose a two-echelon network of senior centers. We for- mulate a two-stage stochastic

Schaefer, Andrew

485

PUBLISH ON DEMAND Recasting the Textbook  

E-Print Network [OSTI]

of history helped students evaluate the sources of information and better understand the perspectives from which history is written? WHAT WE SET OUT TO DO We recast the history textbook as an edited on- demand- source documents and interactive technology. WHAT WE FOUND High school students accessed our database

Das, Rhiju

486

Energy technologies and their impact on demand  

SciTech Connect (OSTI)

Despite the uncertainties, energy demand forecasts must be made to guide government policies and public and private-sector capital investment programs. Three principles can be identified in considering long-term energy prospects. First energy demand will continue to grow, driven by population growth, economic development, and the current low per capita energy consumption in developing countries. Second, energy technology advancements alone will not solve the problem. Energy-efficient technologies, renewable resource technologies, and advanced electric power technologies will all play a major role but will not be able to keep up with the growth in world energy demand. Third, environmental concerns will limit the energy technology choices. Increasing concern for environmental protection around the world will restrict primarily large, centralized energy supply facilities. The conclusion is that energy system diversity is the only solution. The energy system must be planned with consideration of both supply and demand technologies, must not rely on a single source of energy, must take advantage of all available technologies that are specially suited to unique local conditions, must be built with long-term perspectives, and must be able to adapt to change.

Drucker, H.

1995-06-01T23:59:59.000Z

487

Industry continues to cut energy demand  

Science Journals Connector (OSTI)

The U.S.'s 10 most energy-intensive industries are continuing to reduce their energy demand, with the chemical industry emerging as a leader in industrial energy conservation, says the Department of Energy in a report to Congress.The chemical industry is ...

1981-01-12T23:59:59.000Z

488

Demand response control for PHEV charging stations by dynamic price adjustments  

Science Journals Connector (OSTI)

Because of their economical operation and low environmental pollution, PHEVs (Plug-in Hybrid Electric Vehicles) are rapidly substituting gasoline vehicles. However, there still exist obstacles to proliferating their use, such as their relatively short ...

Daehyun Ban; George Michailidis; Michael Devetsikiotis

2012-01-01T23:59:59.000Z

489

Decentralized demand–supply matching using community microgrids and consumer demand response: A scenario analysis  

Science Journals Connector (OSTI)

Abstract Developing countries constantly face the challenge of reliably matching electricity supply to increasing consumer demand. The traditional policy decisions of increasing supply and reducing demand centrally, by building new power plants and/or load shedding, have been insufficient. Locally installed microgrids along with consumer demand response can be suitable decentralized options to augment the centralized grid based systems and plug the demand–supply gap. The objectives of this paper are to: (1) develop a framework to identify the appropriate decentralized energy options for demand–supply matching within a community, and, (2) determine which of these options can suitably plug the existing demand–supply gap at varying levels of grid unavailability. A scenario analysis framework is developed to identify and assess the impact of different decentralized energy options at a community level and demonstrated for a typical urban residential community – Vijayanagar, Bangalore in India. A combination of LPG based CHP microgrid and proactive demand response by the community is the appropriate option that enables the Vijayanagar community to meet its energy needs 24/7 in a reliable, cost-effective manner. The paper concludes with an enumeration of the barriers and feasible strategies for the implementation of community microgrids in India based on stakeholder inputs.

Kumudhini Ravindra; Parameshwar P. Iyer

2014-01-01T23:59:59.000Z

490

Using heat demand prediction to optimise Virtual Power Plant production capacity  

E-Print Network [OSTI]

1 Using heat demand prediction to optimise Virtual Power Plant production capacity Vincent Bakker is really produced by the fleet of micro- generators. When using micro Combined Heat and Power micro distributed electricity generation (micro-generation e.g. solar cells, micro Combined Heat and Power (micro

Al Hanbali, Ahmad

491

An Upload Bandwidth Threshold for Peer-to-Peer Video-on-Demand Scalability  

E-Print Network [OSTI]

.perino@orange-ftgroup.com Laurent Viennot INRIA Project-Team "GANG" between INRIA and LIAFA, France. laurent a static allocation of m = (n) videos into the boxes such that any adversarial sequence of video demands Author manuscript, published in "23rd IEEE International Parallel and Distributed Processing Symposium

Paris-Sud XI, Université de

492

Demand forecasting at Zara : a look at seasonality, product lifecycle and cannibalization  

E-Print Network [OSTI]

Zara introduces 10,000 new designs every year and distributes 5.2 million clothing articles per week to a network of over 1925 stores in more than 86 countries. Their high product mix and vast global network makes demand ...

García, José M. (José Manuel)

2014-01-01T23:59:59.000Z

493

The Role of Demand Response Policy Forum Series  

E-Print Network [OSTI]

The Role of Demand Response Policy Forum Series Beyond 33 Percent: California's Renewable Future and Demand Response #12;Historic focus on Seasonal Grid Stress PG&E Demand Bid Test Day 0 2000 4000 6000 8000 Communication Latency #12;Bottom Up Review of End-Use Loads for Demand Response 5 Commercial Residential

California at Davis, University of

494

A Simulation Study of Demand Responsive Transit System Design  

E-Print Network [OSTI]

A Simulation Study of Demand Responsive Transit System Design Luca Quadrifoglio, Maged M. Dessouky changed the landscape for demand responsive transit systems. First, the demand for this type of transit experiencing increased usage for demand responsive transit systems. The National Transit Summaries and Trends

Dessouky, Maged

495

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis  

E-Print Network [OSTI]

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis CERTH, University Hegde, Laurent Massouli´e Technicolor Paris Research Lab Paris, France Abstract-- Demand response (DR the alternative option of dynamic demand adaptation. In this direction, demand response (DR) programs provide

496

Autonomous Demand Response in Heterogeneous Smart Grid Topologies  

E-Print Network [OSTI]

1 Autonomous Demand Response in Heterogeneous Smart Grid Topologies Hamed Narimani and Hamed-mails: narimani-hh@ec.iut.ac.ir and hamed@ee.ucr.edu Abstract--Autonomous demand response (DR) is scalable and has demand response systems in heterogeneous smart grid topologies. Keywords: Autonomous demand response

Mohsenian-Rad, Hamed

497

Climate, extreme heat, and electricity demand in California  

E-Print Network [OSTI]

demand responses to climate change: Methodology and application to the Commonwealth of Massachusetts.

Miller, N.L.

2008-01-01T23:59:59.000Z

498

Construction of a Demand Side Plant with Thermal Energy Storage  

E-Print Network [OSTI]

storage and its potential impact on the electric utilities and introduces the demand side plant concept....

Michel, M.

1989-01-01T23:59:59.000Z

499

Global food demand and the sustainable intensification of agriculture  

Science Journals Connector (OSTI)

...analyzed crop demand (utilization...ZZQQhy2007 per capita real (inflation-adjusted) GDP (Table S1...nut oil, an energy dense commodity...future crop demand that we present...nation the mean per capita crop demands...per capita GDP). Crop Demand...

David Tilman; Christian Balzer; Jason Hill; Belinda L. Befort

2011-01-01T23:59:59.000Z

500

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

industrial demand response (DR) with energy efficiency (EE) to most effectively use electricity and natural gas

McKane, Aimee T.

2009-01-01T23:59:59.000Z